Take your Excel and Copilot skills to the next level
This Level Two course builds on the basics of Microsoft Excel and Microsoft Copilot. You will learn how to use Copilot to write formulas, analyse data, build charts, and automate everyday tasks. By the end, you will be confident using Copilot as your daily Excel helper.
A short refresher before we go deeper.
Let Copilot help you write and fix formulas.
Use Copilot to tidy up messy data.
Let Copilot find patterns and answers in your data.
Turn numbers into pictures that tell a story.
Save time by letting Copilot do repetitive work.
| Module | Project |
|---|---|
| Module One | Simple Copilot practice sheet |
| Module Two | Marks sheet with formulas |
| Module Three | Cleaned customer list |
| Module Four | Sales analysis report |
| Module Five | Class performance chart |
| Module Six | Complete Excel tool (budget or attendance) |
Start today and let Copilot make Excel easier and more fun!
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Hello, young Excel explorer! Welcome to Level Two of Copilot in Microsoft Excel. In Level One, you learned the very basics of Excel: cells, rows, columns, and simple typing. You may have also met Copilot for the first time.
In this module, we will do a quick review and get fully set up. Think of it like cleaning your desk and sharpening your pencils before starting a big project. We will learn what Copilot is, how it lives inside Excel, how to open it, and how to ask it simple questions. We will also learn how to stay safe and private while using it.
By the end of this module, you will be comfortable using Copilot as your friendly helper inside Excel. You will be ready for the more exciting lessons in Module Two, where we will write formulas with Copilot.
No advanced maths is needed. Just bring your curiosity and a computer with Excel and Copilot.
After finishing this module, you will be able to:
Ada is a bright girl in Lagos. She loves using Microsoft Excel to keep records of her school marks and her mother’s market sales. But sometimes Excel feels like a big, quiet library. Ada types numbers and formulas, but no one helps her when she gets stuck.
One day, Ada’s teacher told the class about a new helper inside Excel called Copilot. “Copilot is like a friendly robot that sits inside Excel,” the teacher said. “You can ask it questions, and it will help you write formulas, clean data, and even make charts.”
Ada was excited. She opened Excel and looked for Copilot. At first, she could not find it. Then she noticed a small button at the top with a colourful icon. She clicked it, and a panel opened on the right side of the screen.
“Hello!” said the panel. “I am Copilot. How can I help you today?”
Ada typed: “Help me add up the numbers in column B.” Copilot quickly replied with a formula: =SUM(B2:B10). Ada copied it into her sheet, and the total appeared. She was amazed!
Ada then asked: “What does this formula do?” Copilot explained it in simple words. Ada learned that Copilot can both do things and explain things. It is like having a patient teacher sitting beside her.
From that day, Ada used Copilot every time she worked in Excel. She became faster and more confident. Her teacher was proud. And Ada learned that a good helper makes any job easier.
Moral of the story: Copilot is a helpful robot inside Excel. It can answer questions, write formulas, and explain things. With Copilot, Excel becomes friendly and fun.
Definition: Microsoft Copilot is an AI helper built into Microsoft apps like Excel, Word, and PowerPoint. It can answer questions, write formulas, and suggest ideas.
Why it is important: Copilot saves time and helps you learn. It is like having a smart friend who knows Excel very well.
Simple explanation: Imagine you are doing homework and you have a friendly tutor beside you. You ask a question, and the tutor explains the answer. Copilot is that tutor, but inside your computer.
Real-life example: A shopkeeper wants to know total sales. Copilot can add the numbers in seconds.
School example: A student wants to calculate the average of test scores. Copilot writes the formula for them.
Home example: A parent wants to track monthly expenses. Copilot helps organise the numbers.
Nigerian example: A trader in Onitsha market wants to know how much profit she made this week. Copilot helps her calculate it quickly.
Illustration:
+----------------------+ | Microsoft Excel | | | | +----------------+ | | | Copilot | | | | (AI Helper) | | | +----------------+ | | | | Your data and work | +----------------------+
Mini summary: Copilot is an AI helper inside Microsoft apps. It can do tasks and explain them. It makes Excel easier and faster.
Definition: Copilot works by reading your question in plain English and looking at your Excel data to give a helpful answer or action.
Why it is important: You do not need to memorise every formula. You can just ask Copilot in normal words.
Simple explanation: Think of Copilot as a translator. You speak in normal words, and Copilot translates your words into Excel formulas or actions.
Real-life example: You say, “Add up these numbers,” and Copilot gives you =SUM(...).
School example: You say, “Find the highest score,” and Copilot gives you =MAX(...).
Home example: You say, “Show my spending as a chart,” and Copilot makes a chart.
Nigerian example: You say, “Show me which customer bought the most,” and Copilot finds it for you.
Illustration:
You type: "Add up column B"
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Copilot reads your data
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Copilot writes: =SUM(B2:B10)
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Total appears in your sheet
Mini summary: Copilot reads your question and your data, then gives a helpful answer or action. You speak in plain English.
Definition: Opening Copilot means finding and clicking the button that shows the Copilot panel inside Excel.
Why it is important: You cannot use Copilot until you open it.
Simple explanation: Like opening a door to let a helper into your room.
Real-life example: Turning on a fan before you feel the breeze.
School example: Opening your textbook before you start reading.
Home example: Switching on the light before you enter a room.
Nigerian example: Opening the shop door before customers come in.
Illustration:
Step 1: Open Microsoft Excel
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Step 2: Look at the top ribbon
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Step 3: Find the "Copilot" button
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Step 4: Click it
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Copilot panel opens on the right side
Step-by-step:
Mini summary: Open Copilot by clicking the Copilot button in the Excel ribbon. The panel opens on the right side.
Definition: Before using Copilot, let us remember what a cell, row, column, and sheet are.
Why it is important: Copilot works with these basic parts. If you know them, you can understand Copilot’s answers.
Simple explanation: Excel is like a big table. A cell is one small box. A row goes across. A column goes down. A sheet is a page of cells.
Real-life example: A school register. Each student’s name is in a cell. Names go down a column. Subjects go across a row.
School example: Your class list. Name in column A, age in column B, score in column C.
Home example: A shopping list. Item in column A, price in column B.
Nigerian example: A market record. Trader name in column A, goods in column B, price in column C.
Illustration:
A B C
+--------+--------+--------+
| Name | Age | Score |
+--------+--------+--------+
1 | Ada | 13 | 85 |
+--------+--------+--------+
2 | Tunde | 14 | 90 |
+--------+--------+--------+
3 | Chidi | 13 | 78 |
+--------+--------+--------+
A, B, C are columns.
1, 2, 3 are rows.
Each box (e.g., A1) is a cell.
Table of basic terms:
| Term | Simple Meaning |
|---|---|
| Cell | One small box in Excel. |
| Row | A line of cells going across. |
| Column | A line of cells going down. |
| Sheet | A page of cells. |
| Workbook | A file with one or more sheets. |
Mini summary: Cells, rows, columns, and sheets are the basic parts of Excel. Copilot uses them to help you.
Definition: Asking Copilot means typing a question in plain English in the Copilot box.
Why it is important: The better your question, the better Copilot’s answer.
Simple explanation: Like asking a teacher a clear question. If you mumble, the teacher may not understand.
Real-life example: Asking a shopkeeper, “How much is this rice?”
School example: Asking your teacher, “What is the formula for average?”
Home example: Asking your mum, “How do I cook rice?”
Nigerian example: Asking a trader, “How much for two cups of beans?”
Illustration:
Good questions: - "Add up the numbers in column B" - "What is the average of C2 to C10?" - "Show me a chart of sales" - "Which student has the highest score?" Not-so-good questions: - "Do something" - "Help" - "Fix it"
Step-by-step:
Mini summary: Ask Copilot clear, simple questions. The clearer the question, the better the answer.
Definition: Copilot’s answers can be formulas, explanations, or suggestions.
Why it is important: You need to understand the answer before using it.
Simple explanation: Copilot is like a friend who gives you advice. You should think about the advice before following it.
Real-life example: A doctor gives you medicine. You should understand what it is for before taking it.
School example: A teacher gives you a formula. You should understand it before using it in an exam.
Home example: A recipe says “add salt.” You should know how much salt to add.
Nigerian example: A trader tells you the price of yams. You should check if it is fair before buying.
Illustration:
Copilot answer types: +--> Formula (e.g., =SUM(B2:B10)) +--> Explanation (e.g., "SUM adds numbers") +--> Suggestion (e.g., "Try a bar chart") +--> Step-by-step guide
Mini summary: Copilot gives formulas, explanations, and suggestions. Read and understand them before using them.
Definition: Using suggestions safely means checking Copilot’s answers before applying them.
Why it is important: Copilot is smart, but it can make mistakes. You are still in charge.
Simple explanation: Like wearing a seatbelt. The car is safe, but you still protect yourself.
Real-life example: A GPS gives directions. You still watch the road.
School example: A calculator gives an answer. You still check your work.
Home example: A recipe says “bake for 20 minutes.” You still check the oven.
Nigerian example: A POS machine shows an amount. You still confirm it before paying.
Illustration:
Copilot suggests: =SUM(B2:B10)
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Check: Are B2 to B10 the right cells?
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+-- Yes --> Use it
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+-- No --> Ask Copilot to fix it
Mini summary: Always check Copilot’s answers. You are the boss. Copilot is your helper.
Definition: Privacy means keeping your personal information safe. Safety means using Copilot without causing harm.
Why it is important: Your data belongs to you. You should not share private information carelessly.
Simple explanation: Like not telling strangers your home address.
Real-life example: A bank tells you never to share your PIN with anyone.
School example: You do not share your exam answers with others.
Home example: You do not give your house keys to strangers.
Nigerian example: You do not share your BVN or bank details with unknown people.
Illustration:
Privacy and Safety Rules: +-- Do not type passwords into Copilot +-- Do not share personal details (address, phone) +-- Do not share bank details +-- Only use Copilot in your Microsoft account +-- Ask a parent or teacher if unsure
Mini summary: Keep your private information safe. Do not share passwords, addresses, or bank details with Copilot.
Definition: Copilot looks at the data in your Excel sheet to give helpful answers.
Why it is important: Copilot can only help if your data is organised.
Simple explanation: Like a librarian. If your books are organised, the librarian can find them quickly.
Real-life example: A shop with labelled shelves is easier to manage.
School example: A notebook with clear headings is easier to study.
Home example: A kitchen with labelled containers is easier to cook in.
Nigerian example: A market stall with goods arranged in sections is easier to sell from.
Illustration:
Good data for Copilot: +--------+--------+--------+ | Name | Age | Score | +--------+--------+--------+ | Ada | 13 | 85 | | Tunde | 14 | 90 | +--------+--------+--------+ Headings in row 1. Data below. No empty rows in the middle.
Mini summary: Organise your data with clear headings. Copilot works best with tidy data.
Definition: Copilot can do many things, but it has limits.
Why it is important: Knowing the limits helps you use Copilot wisely.
Simple explanation: Like a bicycle. It can take you to school, but it cannot fly.
Real-life example: A calculator can add numbers but cannot cook food.
School example: A dictionary can give meanings but cannot write your essay.
Home example: A blender can make smoothies but cannot wash itself.
Nigerian example: A POS machine can take payments but cannot sell goods by itself.
Illustration:
Copilot CAN: +-- Write formulas +-- Explain formulas +-- Suggest charts +-- Clean data +-- Answer Excel questions Copilot CANNOT: +-- Replace your thinking +-- Guarantee 100% correct answers +-- Access private data without permission +-- Work without Excel open
Table of abilities:
| Can Do | Cannot Do |
|---|---|
| Write formulas | Think for you |
| Explain formulas | Guarantee perfect answers |
| Suggest charts | Use data without permission |
| Clean data | Replace your learning |
Mini summary: Copilot is powerful but not perfect. It helps you, but you are still the boss.
Definition: Getting help means asking Copilot when you are stuck.
Why it is important: Everyone gets stuck sometimes. Copilot is there to help.
Simple explanation: Like raising your hand in class when you do not understand.
Real-life example: Asking a colleague for help at work.
School example: Asking a teacher to explain a difficult topic.
Home example: Asking an elder brother or sister for help.
Nigerian example: Asking a fellow trader for advice in the market.
Illustration:
You are stuck on a formula
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Ask Copilot: "How do I add only the numbers above 50?"
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Copilot replies: "Use =SUMIF(B2:B10, ">50")"
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You try it and it works!
Mini summary: Ask Copilot when you are stuck. It is patient and always ready to help.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: Learning from mistakes is part of becoming an expert.
Simple explanation: Like learning to ride a bike. You may fall, but you get up and try again.
Real-life example: Forgetting to save your work before closing.
School example: Forgetting to write your name on an exam.
Home example: Forgetting to turn off the tap.
Nigerian example: Forgetting to collect your change in a taxi.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Asking vague questions | Copilot gives unclear answers | Ask clearly |
| Using Copilot’s formula without checking | Wrong results | Check the range |
| Sharing private data | Privacy risk | Keep data safe |
| Not saving work | Lose data | Save often |
| Ignoring Copilot’s explanation | Don’t learn | Read and understand |
Mini summary: Common mistakes include vague questions and unchecked formulas. Learn from them and improve.
Definition: Best practices are good habits that make using Copilot easy and safe.
Why it is important: Good habits save time and prevent problems.
Simple explanation: Like brushing your teeth daily. Small habits make a big difference.
Real-life example: Keeping your workspace tidy.
School example: Writing neatly in your notebook.
Home example: Washing plates after eating.
Nigerian example: Keeping your market stall organised.
List of best practices:
Mini summary: Good habits make Copilot easier and safer. Organise, ask clearly, check, and save.
Let’s do a simple practice with Copilot.
Step 1: Open Excel and type this data:
+--------+--------+ | Name | Score | +--------+--------+ | Ada | 85 | | Tunde | 90 | | Chidi | 78 | | Ngozi | 92 | +--------+--------+
Step 2: Open Copilot.
Step 3: Ask: “What is the total of the scores?”
Step 4: Copilot will give a formula like =SUM(B2:B5).
Step 5: Ask: “What is the average score?”
Step 6: Copilot will give =AVERAGE(B2:B5).
Step 7: Ask: “Who has the highest score?”
Step 8: Copilot will explain and give =MAX(B2:B5).
Step 9: Read each explanation and check the formulas.
Step 10: Save your work.
Mini summary: Practice with simple data. Ask questions. Read explanations. Check answers. Save your work.
Let’s create a small workbook using everything we learned.
Project: My Class Marks Sheet
Step 1: Open Excel and create a new sheet.
Step 2: Type these headings:
A1: Name B1: Maths C1: English D1: Science E1: Total F1: Average
Step 3: Enter data for five students.
Step 4: Ask Copilot: “Add the Maths, English, and Science scores for each student in column E.”
Step 5: Ask Copilot: “Calculate the average for each student in column F.”
Step 6: Ask Copilot: “Which student has the highest total?”
Step 7: Ask Copilot: “Show the totals as a bar chart.”
Step 8: Save the workbook as “My_Class_Marks”.
Illustration:
+--------+-------+---------+---------+-------+---------+ | Name | Maths | English | Science | Total | Average | +--------+-------+---------+---------+-------+---------+ | Ada | 85 | 90 | 88 | 263 | 87.7 | | Tunde | 90 | 85 | 92 | 267 | 89.0 | | Chidi | 78 | 80 | 75 | 233 | 77.7 | +--------+-------+---------+---------+-------+---------+
Mini summary: This project uses headings, data, Copilot formulas, and a chart. It is a complete beginner’s workbook.
| Word | Simple Definition |
|---|---|
| Copilot | An AI helper inside Microsoft apps. |
| AI | Artificial Intelligence. A computer that can think and answer. |
| Cell | One small box in Excel. |
| Row | A line of cells going across. |
| Column | A line of cells going down. |
| Sheet | A page of cells. |
| Workbook | A file with one or more sheets. |
| Formula | A maths instruction in Excel (e.g., =SUM). |
| Prompt | The question you type to Copilot. |
| Ribbon | The bar at the top of Excel with buttons. |
| Panel | The side window where Copilot appears. |
| Privacy | Keeping your personal information safe. |
| Data | Information in your spreadsheet. |
| Check | To look at something carefully. |
| Save | To keep your work so you can use it later. |
+--------------------------------------------------+ | Ribbon: [Home] [Insert] [Copilot] ... | +--------------------------------------------------+ | | | A B C D | | +------+------+------+------+ +--------------+ | | | Name | Age | Score| | | Copilot | | | +------+------+------+------+ | | | | | Ada | 13 | 85 | | | Ask me... | | | | Tunde| 14 | 90 | | | | | | | Chidi| 13 | 78 | | | [Send] | | | +------+------+------+------+ +--------------+ | | | +--------------------------------------------------+
You ask a question
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Copilot reads your data
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Copilot gives an answer
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You check the answer
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You use it in Excel
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Task done 🎉
Start
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Do I need help with Excel?
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+-- Yes --> Open Copilot
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+-- No --> Work directly
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Ask a clear question
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Read the answer
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Check the answer
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+-- Correct --> Use it
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+-- Wrong --> Ask again
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Done
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Feature | Copilot | Doing It Yourself |
|---|---|---|
| Speed | Very fast | Slower |
| Learning | Explains as it goes | You must know it |
| Accuracy | Usually correct | Depends on you |
| Best for | Beginners and speed | Full control |
| Term | What It Is | Example |
|---|---|---|
| Cell | One box | A1 |
| Row | Line across | Row 1 |
| Column | Line down | Column A |
| Good Question | Bad Question |
|---|---|
| “Add up column B” | “Do something” |
| “What is the average of C2 to C10?” | “Help” |
| “Show sales as a chart” | “Fix it” |
| Safe to Share with Copilot | Unsafe to Share |
|---|---|
| School marks | Passwords |
| Market prices | Bank details |
| Chore lists | Home address |
Lesson 1: Copilot is an AI helper inside Microsoft apps.
Lesson 2: Copilot reads your question and your data to help you.
Lesson 3: Open Copilot by clicking the Copilot button in the ribbon.
Lesson 4: Cells, rows, columns, and sheets are the basic parts of Excel.
Lesson 5: Ask Copilot clear, simple questions.
Lesson 6: Copilot gives formulas, explanations, and suggestions.
Lesson 7: Always check Copilot’s answers before using them.
Lesson 8: Keep private data safe. Never share passwords.
Lesson 9: Organise your data with clear headings.
Lesson 10: Copilot is powerful but not perfect.
Lesson 11: Ask Copilot when you are stuck.
Lesson 12: Common mistakes include vague questions and unchecked formulas.
Lesson 13: Best practices: organise, ask clearly, check, save.
Lesson 14: Practice with simple data and Copilot.
Lesson 15: Build a small class marks sheet with Copilot.
Congratulations! You have finished Module One of Copilot in Microsoft Excel – Level Two. You learned what Copilot is, how it works inside Excel, and how to open it. You reviewed basic Excel skills like cells, rows, columns, and sheets. You learned how to ask Copilot simple questions and how to understand its answers. You learned how to use Copilot safely and how to keep your private data safe. You practised with simple data and built a small class marks sheet. You now know common mistakes and best practices. Most importantly, you are ready to use Copilot as your friendly helper in Excel. Keep practising, and you will become a Copilot in Excel expert!
Match the word to its definition.
| Word | Definition |
|---|---|
| 1. Copilot | A. One small box in Excel. |
| 2. Cell | B. An AI helper in Microsoft apps. |
| 3. Formula | C. A page of cells. |
| 4. Sheet | D. A maths instruction in Excel. |
| 5. Ribbon | E. The bar at the top of Excel with buttons. |
Answers: 1-B, 2-A, 3-D, 4-C, 5-E
Title: “Build a Class Marks Sheet Together”
Instructions: In groups of 3–4, create a class marks sheet in Excel. Use Copilot to add up scores, find averages, and make a chart. One person types, one person asks Copilot, one person checks the answers, and one person presents. Share your sheet with the class.
Goal: Practice opening Copilot, asking questions, and checking answers.
Task: Create a small Excel sheet with your five favourite foods and their prices. Use Copilot to add up the prices. Then ask Copilot to explain the formula it used.
Hint: Type the foods in column A and prices in column B.
Project: “My Pocket Money Tracker”
Create an Excel sheet to track your pocket money for one week. Use columns for Day, Money In, Money Out, and Balance. Use Copilot to:
Example output:
+--------+----------+-----------+---------+ | Day | Money In | Money Out | Balance | +--------+----------+-----------+---------+ | Monday | 500 | 200 | 300 | | Tuesday| 300 | 100 | 200 | +--------+----------+-----------+---------+
Assignment: Create a new Excel workbook called About_Me. In the workbook, do the following:
Submit: Your workbook file and a screenshot of the Copilot panel with the answers.
In Module Two, we will learn how to write formulas with Copilot. We will cover:
To prepare, make sure you have completed the practical assignment and can open Copilot in Excel. Review your notes on cells, rows, columns, and sheets. Bring your curiosity!
See you in Module Two!
End of Module One – Copilot in Microsoft Excel – Level Two
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Welcome back, young Excel explorer! In Module One, you learned what Copilot is, how to open it, and how to ask simple questions. You also reviewed cells, rows, columns, and sheets.
Now it is time for the fun part: writing formulas. Formulas are the maths instructions in Excel. They tell Excel what to calculate. In the old days, you had to memorise every formula. But with Copilot, you can just ask in plain English, and Copilot writes the formula for you.
In this module, we will learn how to use Copilot to write formulas for adding, averaging, counting, and making decisions. We will learn SUM, AVERAGE, MIN, MAX, IF, IFERROR, COUNTIF, SUMIF, VLOOKUP, and XLOOKUP. We will also learn how to fix broken formulas and how to ask Copilot to explain formulas in simple words.
By the end, you will be able to build a complete marks sheet using Copilot. You will be faster and more confident in Excel. Let’s begin!
After finishing this module, you will be able to:
Tunde is a clever boy in Abuja. His teacher asked him to prepare a marks sheet for the class. Tunde has 40 students and 5 subjects. He needs to add up each student’s scores, find the average, and decide who passed and who failed.
Tunde started typing formulas by hand. He typed =SUM(B2:F2) for the first student. Then he dragged it down. But some students had missing scores, and the average was wrong. Then he tried IF for pass or fail, but he made a small mistake with the commas. The whole sheet showed errors!
Tunde was frustrated. Then his friend Ada said, “Tunde, why don’t you ask Copilot? It can write the formulas for you.”
Tunde opened Copilot and typed: “Add up the scores from column B to column F for each student.” Copilot gave him the correct formula. He asked: “What is the average?” Copilot gave him =AVERAGE(B2:F2). He asked: “Show PASS if the average is 50 or above, else FAIL.” Copilot gave him =IF(G2>=50, "PASS", "FAIL").
In minutes, Tunde’s marks sheet was complete. Every student had a total, an average, and a pass or fail result. His teacher was impressed. Tunde learned that Copilot is like a patient maths tutor who never gets tired.
Moral of the story: Copilot can write any formula for you if you ask clearly. It saves time and prevents mistakes. You just need to know what you want to calculate.
Definition: Asking Copilot to create a formula means typing what you want to calculate in plain English, and Copilot gives you the Excel formula.
Why it is important: You do not need to memorise formulas. Copilot writes them for you.
Simple explanation: Imagine you want to know the total of your pocket money. You tell Copilot, “Add up my money,” and it gives you the formula.
Real-life example: A shopkeeper says, “Add up all sales today.” Copilot gives the formula.
School example: A teacher says, “Find the average score.” Copilot writes it.
Home example: A parent says, “Add up the grocery prices.” Copilot helps.
Nigerian example: A trader says, “Add up the price of all the yams I sold.” Copilot gives the total formula.
Illustration:
You type: "Add up the numbers in B2 to B10"
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Copilot gives: =SUM(B2:B10)
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You paste it into the cell
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Total appears
Step-by-step:
Mini summary: Ask Copilot in plain English. It gives you the formula. Copy it into your sheet and see the result.
Definition: SUM is a formula that adds numbers together.
Why it is important: Adding is the most common calculation in Excel.
Simple explanation: Imagine you have five plates of rice. Each plate has some grains. SUM counts all the grains together.
Real-life example: Adding the prices of items in a shopping basket.
School example: Adding test scores to get a total.
Home example: Adding your weekly pocket money.
Nigerian example: Adding the money from all your sales in the market today.
Illustration:
+--------+--------+ | Item | Price | +--------+--------+ | Rice | 500 | | Beans | 300 | | Oil | 700 | +--------+--------+ Ask Copilot: "Add up the prices" Copilot gives: =SUM(B2:B4) Result: 1500
Step-by-step:
=SUM(B2:B4).Mini summary: SUM adds numbers. Ask Copilot to write it. Type =SUM(range) in a cell.
Definition: AVERAGE finds the middle value. MIN finds the smallest. MAX finds the largest.
Why it is important: These three help you understand your data quickly.
Simple explanation: Imagine a race. MIN is the slowest runner. MAX is the fastest. AVERAGE is the typical speed of all runners.
Real-life example: Finding the cheapest item in the market.
School example: Finding the highest score in the class.
Home example: Finding the average electricity bill for three months.
Nigerian example: Finding the highest price a customer paid for your goods.
Illustration:
Scores: 85, 90, 78, 92 Ask Copilot: "What is the average?" Copilot: =AVERAGE(B2:B5) Result: 86.25 Ask Copilot: "What is the lowest score?" Copilot: =MIN(B2:B5) Result: 78 Ask Copilot: "What is the highest score?" Copilot: =MAX(B2:B5) Result: 92
Step-by-step:
Mini summary: AVERAGE, MIN, and MAX help you understand your data. Ask Copilot to write them.
Definition: IF checks a condition and shows one thing if true and another if false.
Why it is important: It lets your sheet make decisions automatically.
Simple explanation: Like a teacher saying, “If you score 50 or more, you pass. If not, you fail.”
Real-life example: A shop giving a discount if the customer buys more than 10 items.
School example: Showing PASS or FAIL based on score.
Home example: Showing “Buy more” if milk is finished, else “Enough milk.”
Nigerian example: A trader saying, “If the customer buys 5 or more, give a discount.”
Illustration:
+--------+--------+ | Name | Score | +--------+--------+ | Ada | 85 | | Tunde | 45 | +--------+--------+ Ask Copilot: "Show PASS if score is 50 or above, else FAIL" Copilot: =IF(B2>=50, "PASS", "FAIL")
Step-by-step:
=IF(condition, value_if_true, value_if_false).Mini summary: IF makes decisions. Use =IF(condition, true_value, false_value). Ask Copilot to write it.
Definition: IFERROR shows a friendly message instead of an error like #DIV/0! or #N/A.
Why it is important: Errors look ugly. IFERROR makes your sheet clean and professional.
Simple explanation: Like a polite person who says, “Sorry, I don’t know,” instead of shouting.
Real-life example: An ATM saying “Insufficient funds” instead of showing a scary error code.
School example: A teacher writing “Absent” instead of leaving the score blank.
Home example: A fridge showing “Empty” instead of a blinking light.
Nigerian example: A POS machine showing “Transaction failed” instead of a confusing code.
Illustration:
Without IFERROR: =A2/B2 --> #DIV/0! With IFERROR: =IFERROR(A2/B2, "Not available") --> Not available
Step-by-step:
Mini summary: IFERROR replaces errors with friendly messages. Use =IFERROR(formula, "message").
Definition: COUNTIF counts how many cells meet a condition.
Why it is important: It helps you count specific things quickly.
Simple explanation: Like counting how many students scored above 70 in a class.
Real-life example: Counting how many customers bought rice today.
School example: Counting how many students passed.
Home example: Counting how many days it rained this month.
Nigerian example: Counting how many bags of rice you sold above ₦10,000.
Illustration:
Scores: 85, 45, 90, 78, 92 Ask Copilot: "Count how many scores are above 70" Copilot: =COUNTIF(B2:B6, ">70") Result: 4
Step-by-step:
=COUNTIF(range, condition).Mini summary: COUNTIF counts cells that meet a condition. Use =COUNTIF(range, condition).
Definition: SUMIF adds numbers that meet a condition.
Why it is important: It lets you add only the numbers you care about.
Simple explanation: Like adding only the prices of items that cost more than ₦500.
Real-life example: Adding only the sales made by one trader.
School example: Adding only the scores of students in one class.
Home example: Adding only the expenses for food.
Nigerian example: Adding only the money from sales of rice, not beans.
Illustration:
+--------+--------+ | Item | Price | +--------+--------+ | Rice | 500 | | Beans | 300 | | Rice | 700 | +--------+--------+ Ask Copilot: "Add only the prices of Rice" Copilot: =SUMIF(A2:A4, "Rice", B2:B4) Result: 1200
Step-by-step:
=SUMIF(range, condition, sum_range).Mini summary: SUMIF adds numbers that meet a condition. Use =SUMIF(range, condition, sum_range).
Definition: VLOOKUP looks for a value in the first column of a table and returns a value from another column in the same row.
Why it is important: It saves time when you need to look up information in a big table.
Simple explanation: Like looking up a student’s name in a register and finding their score.
Real-life example: Looking up a product price in a price list.
School example: Looking up a student’s score by their name.
Home example: Looking up a phone number in a contact list.
Nigerian example: Looking up the price of a good in a market price list.
Illustration:
Price list:
+--------+--------+
| Item | Price |
+--------+--------+
| Rice | 500 |
| Beans | 300 |
+--------+--------+
Ask Copilot: "Look up the price of Beans"
Copilot: =VLOOKUP("Beans", A2:B3, 2, FALSE)
Result: 300
Step-by-step:
=VLOOKUP(value, table, column_number, FALSE).Mini summary: VLOOKUP finds information in a table. Use =VLOOKUP(value, table, column, FALSE).
Definition: XLOOKUP is a newer and more flexible way to look up values.
Why it is important: It can look left or right, and it handles errors better than VLOOKUP.
Simple explanation: Like VLOOKUP but smarter. It can look in any direction.
Real-life example: Looking up a customer’s name from their phone number.
School example: Looking up a subject from a subject code.
Home example: Looking up a recipe from an ingredient.
Nigerian example: Looking up a trader’s name from their stall number.
Illustration:
Ask Copilot: "Look up the price of Beans using XLOOKUP"
Copilot: =XLOOKUP("Beans", A2:A3, B2:B3)
Result: 300
Step-by-step:
=XLOOKUP(value, lookup_range, result_range).Mini summary: XLOOKUP is the modern lookup. Use =XLOOKUP(value, lookup_range, result_range).
Definition: Fixing broken formulas means asking Copilot to correct a formula that is not working.
Why it is important: Everyone makes mistakes. Copilot helps you fix them quickly.
Simple explanation: Like asking a teacher to correct your maths working.
Real-life example: A mechanic fixing a car engine.
School example: A teacher correcting your essay.
Home example: A parent fixing a broken toy.
Nigerian example: A technician fixing a faulty generator.
Illustration:
Broken formula: =SUM(B2:B10
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Ask Copilot: "Fix this formula: =SUM(B2:B10"
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Copilot: =SUM(B2:B10)
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It works!
Step-by-step:
Mini summary: Copilot can fix broken formulas. Just paste the formula and ask for help.
Definition: Explaining a formula means understanding what it does in simple words.
Why it is important: If you understand the formula, you can use it wisely and learn from it.
Simple explanation: Like a teacher explaining a maths rule step by step.
Real-life example: A doctor explaining what a medicine does.
School example: A teacher explaining a science experiment.
Home example: A parent explaining how to cook a dish.
Nigerian example: A trader explaining how to calculate profit.
Illustration:
You ask Copilot: "Explain =IF(B2>=50, "PASS", "FAIL")"
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Copilot: "This formula checks if the value in B2 is 50 or more.
If it is, it shows PASS. If not, it shows FAIL."
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You understand it!
Step-by-step:
Mini summary: Ask Copilot to explain formulas. It breaks them down into simple words.
Definition: Combining formulas means using one formula inside another.
Why it is important: You can do more complex calculations with one formula.
Simple explanation: Like stacking blocks on top of each other to build a tower.
Real-life example: Calculating the average and then checking if it passes.
School example: Adding scores and then deciding pass or fail.
Home example: Adding expenses and then checking if you saved money.
Nigerian example: Adding all sales and then calculating the tax.
Illustration:
Ask Copilot: "Show PASS if the average of B2 to F2 is 50 or above"
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Copilot: =IF(AVERAGE(B2:F2)>=50, "PASS", "FAIL")
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It works!
Step-by-step:
Mini summary: Combining formulas does more in one step. Ask Copilot for the full formula.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: A small mistake can make the whole formula fail.
Simple explanation: Like forgetting a full stop in a sentence. It changes the meaning.
Real-life example: Forgetting to put the right price tag on an item.
School example: Forgetting a comma in a list.
Home example: Forgetting to add salt while cooking.
Nigerian example: Forgetting to add the last zero when writing a price.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Missing closing bracket | Formula error | Add ) |
| Wrong cell range | Wrong result | Check the range |
| Missing comma | Formula error | Add comma |
| Wrong condition | Wrong result | Check the condition |
| Using text instead of numbers | Wrong result | Use numbers |
| Forgetting quotes around text | Error | Use "PASS" not PASS |
Mini summary: Common mistakes include missing brackets, wrong ranges, and missing commas. Check your formula or ask Copilot.
Definition: Best practices are good habits that make formulas clean and correct.
Why it is important: Good habits save time and prevent errors.
Simple explanation: Like keeping your desk tidy before starting homework.
Real-life example: A chef preparing ingredients before cooking.
School example: A student reading the question carefully before answering.
Home example: A parent checking the shopping list before going to the market.
Nigerian example: A trader counting goods before opening the stall.
List of best practices:
Mini summary: Good habits make formulas clean and correct. Organise, ask clearly, check, and test.
Let’s build a complete marks sheet using Copilot.
Step 1: Open Excel and create this table:
+--------+-------+---------+---------+-------+---------+--------+ | Name | Maths | English | Science | Total | Average | Result | +--------+-------+---------+---------+-------+---------+--------+ | Ada | 85 | 90 | 88 | | | | | Tunde | 90 | 85 | 92 | | | | | Chidi | 78 | 80 | 75 | | | | | Ngozi | 92 | 95 | 90 | | | | +--------+-------+---------+---------+-------+---------+--------+
Step 2: Ask Copilot: “Add up B2, C2, and D2 for column E.”
Step 3: Copilot gives =SUM(B2:D2). Type it in E2 and drag down.
Step 4: Ask Copilot: “Calculate the average in column F.”
Step 5: Copilot gives =AVERAGE(B2:D2). Type it in F2 and drag down.
Step 6: Ask Copilot: “Show PASS if average is 50 or above, else FAIL.”
Step 7: Copilot gives =IF(F2>=50, "PASS", "FAIL"). Type it in G2 and drag down.
Step 8: Ask Copilot: “Which student has the highest total?”
Step 9: Copilot explains how to use =MAX(E2:E5) and =INDEX.
Step 10: Save your workbook.
Illustration:
+--------+-------+---------+---------+-------+---------+--------+ | Name | Maths | English | Science | Total | Average | Result | +--------+-------+---------+---------+-------+---------+--------+ | Ada | 85 | 90 | 88 | 263 | 87.7 | PASS | | Tunde | 90 | 85 | 92 | 267 | 89.0 | PASS | | Chidi | 78 | 80 | 75 | 233 | 77.7 | PASS | | Ngozi | 92 | 95 | 90 | 277 | 92.3 | PASS | +--------+-------+---------+---------+-------+---------+--------+
Mini summary: This marks sheet uses SUM, AVERAGE, and IF. Copilot wrote every formula. You are now a formula expert!
| Word | Simple Definition |
|---|---|
| Formula | A maths instruction in Excel. |
| SUM | A formula that adds numbers. |
| AVERAGE | A formula that finds the middle value. |
| MIN | A formula that finds the smallest value. |
| MAX | A formula that finds the largest value. |
| IF | A formula that makes decisions. |
| IFERROR | A formula that replaces errors with a friendly message. |
| COUNTIF | A formula that counts cells meeting a condition. |
| SUMIF | A formula that adds cells meeting a condition. |
| VLOOKUP | A formula that looks up values in a table. |
| XLOOKUP | A newer, smarter lookup formula. |
| Range | A group of cells (e.g., B2:B10). |
| Condition | A test that is true or false. |
| Cell reference | The name of a cell (e.g., A1). |
| Nested formula | A formula inside another formula. |
You ask Copilot
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Copilot reads your data
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Copilot gives a formula
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You check the formula
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You paste it into a cell
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Result appears 🎉
Start
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Is score >= 50?
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+-- Yes --> Show "PASS"
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+-- No --> Show "FAIL"
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End
Lookup value: "Beans"
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Table:
+--------+--------+
| Item | Price |
+--------+--------+
| Rice | 500 |
| Beans | 300 | <-- found here
| Oil | 700 |
+--------+--------+
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Result: 300
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Formula | What It Does | Example |
|---|---|---|
| SUM | Adds numbers | =SUM(B2:B10) |
| AVERAGE | Finds the middle value | =AVERAGE(B2:B10) |
| COUNT | Counts numbers | =COUNT(B2:B10) |
| Feature | VLOOKUP | XLOOKUP |
|---|---|---|
| Direction | Only right | Left or right |
| Error handling | Needs IFERROR | Built-in |
| Ease | Harder | Easier |
| Modern | Older | Newer |
| Formula | Purpose | Example |
|---|---|---|
| IF | Makes decisions | =IF(B2>=50, "PASS", "FAIL") |
| IFERROR | Replaces errors | =IFERROR(A2/B2, "Not available") |
| Formula | What It Does | Example |
|---|---|---|
| COUNTIF | Counts with a condition | =COUNTIF(B2:B10, ">70") |
| SUMIF | Adds with a condition | =SUMIF(A2:A10, "Rice", B2:B10) |
Lesson 1: Ask Copilot in plain English to write formulas.
Lesson 2: SUM adds numbers.
Lesson 3: AVERAGE, MIN, and MAX help you understand data.
Lesson 4: IF makes decisions in Excel.
Lesson 5: IFERROR replaces errors with friendly messages.
Lesson 6: COUNTIF counts cells that meet a condition.
Lesson 7: SUMIF adds cells that meet a condition.
Lesson 8: VLOOKUP finds information in a table.
Lesson 9: XLOOKUP is the modern, smarter lookup.
Lesson 10: Copilot can fix broken formulas.
Lesson 11: Copilot can explain formulas in simple words.
Lesson 12: Combining formulas does more in one step.
Lesson 13: Common mistakes include missing brackets and wrong ranges.
Lesson 14: Best practices: organise, ask clearly, check, test.
Lesson 15: Build a complete marks sheet with SUM, AVERAGE, and IF.
Congratulations! You have finished Module Two of Copilot in Microsoft Excel – Level Two. You learned how to ask Copilot to write formulas in plain English. You learned SUM, AVERAGE, MIN, and MAX. You learned IF and IFERROR for decisions and error handling. You learned COUNTIF and SUMIF for conditional counting and adding. You learned VLOOKUP and XLOOKUP for finding information. You learned how to fix broken formulas and how to ask Copilot to explain formulas. You built a complete marks sheet using Copilot. You now know common mistakes and best practices. Most importantly, you are now a formula expert with Copilot as your helper. Keep practising, and you will become a Copilot in Excel expert!
Match the formula to what it does.
| Formula | What It Does |
|---|---|
| 1. SUM | A. Makes decisions |
| 2. AVERAGE | B. Adds numbers |
| 3. IF | C. Finds the middle value |
| 4. COUNTIF | D. Looks up values |
| 5. VLOOKUP | E. Counts with a condition |
Answers: 1-B, 2-C, 3-A, 4-E, 5-D
Title: “Build a Class Results Sheet Together”
Instructions: In groups of 3–4, create a class results sheet in Excel. Use Copilot to add totals, find averages, and show PASS/FAIL. One person types, one person asks Copilot, one person checks the answers, and one person presents. Share your sheet with the class.
Goal: Practice SUM, AVERAGE, and IF with Copilot.
Task: Create a small Excel sheet with five items and their prices. Use Copilot to:
Hint: Type items in column A and prices in column B.
Project: “My Weekly Pocket Money Tracker”
Create an Excel sheet to track your pocket money for one week. Use columns for Day, Money In, Money Out, and Balance. Use Copilot to:
Example output:
+--------+----------+-----------+---------+--------+ | Day | Money In | Money Out | Balance | Status | +--------+----------+-----------+---------+--------+ | Monday | 500 | 200 | 300 | SAVED | | Tuesday| 300 | 100 | 200 | SAVED | +--------+----------+-----------+---------+--------+
Assignment: Create a new Excel workbook called My_Marks_Sheet. In the workbook, do the following:
Submit: Your workbook file and screenshots of the Copilot formulas and explanations.
In Module Three, we will learn how to clean and organise data with Copilot. We will cover:
To prepare, make sure you have completed the practical assignment and can write formulas with Copilot. Review your notes on SUM, AVERAGE, and IF. Bring your curiosity!
See you in Module Three!
End of Module Two – Copilot in Microsoft Excel – Level Two
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Welcome back, young Excel explorer! In Module One, you learned what Copilot is and how to open it. In Module Two, you learned how to write formulas with Copilot. You learned SUM, AVERAGE, IF, COUNTIF, SUMIF, VLOOKUP, and XLOOKUP.
Now it is time to learn something very important: cleaning and organising data. In real life, data is often messy. Names may have extra spaces. Dates may be in different formats. Some rows may be empty. Some entries may be repeated. If your data is messy, your formulas will give wrong answers.
In this module, we will learn how to use Copilot to clean and organise your data. We will learn how to remove duplicates, split full names into first and last names, join text together, change text to upper or lower case, fix dates and numbers, fill missing values, and sort and filter with Copilot.
By the end, you will be able to turn a messy sheet into a clean, organised, professional-looking sheet. Let’s begin!
After finishing this module, you will be able to:
Ngozi runs a small shop in Enugu. She sells provisions: rice, beans, oil, and soap. She keeps a list of her customers in Excel. The list has names, phone numbers, and the amount each customer owes.
One day, Ngozi wanted to send a message to all her customers. She looked at her list and saw a big problem. The names were messy! Some were written as “ada okeke”, others as “ADA OKEKE”, and others as “Ada Okeke”. Some customers appeared two or three times. Some phone numbers had extra spaces. Some rows were empty.
Ngozi was confused. “How can I send messages to everyone when the list is so messy?” she asked.
Her friend Tunde said, “Ngozi, use Copilot! It can clean your list in minutes.”
Ngozi opened Copilot and asked: “Remove duplicate customers from my list.” Copilot showed her how. Then she asked: “Split full names into first and last names.” Copilot gave her the formulas. She asked: “Change all names to proper case.” Copilot helped. She asked: “Remove extra spaces from phone numbers.” Copilot fixed them.
In less than an hour, Ngozi’s list was clean and organised. She sent her messages and got many replies. Her business grew. Ngozi learned that clean data is powerful data.
Moral of the story: Messy data causes problems. Copilot helps you clean and organise your data quickly. Clean data helps you make good decisions.
Definition: Clean data means data that is correct, complete, and organised. Messy data is data with mistakes, duplicates, or missing parts.
Why it is important: Clean data gives correct answers. Messy data gives wrong answers and wastes time.
Simple explanation: Imagine a kitchen with dirty plates and scattered ingredients. Cooking would be hard. A clean kitchen makes cooking easy. Clean data makes Excel easy.
Real-life example: A bank with messy records might send money to the wrong person.
School example: A teacher with a messy marks sheet might give the wrong grade.
Home example: A shopping list with repeated items means buying too much.
Nigerian example: A market trader with a messy customer list might lose customers.
Illustration:
Messy data: Clean data: +--------+--------+ +--------+--------+ | Ada | 0801 | | Ada | 0801 | | ada | 0802 | | Tunde | 0802 | | TUNDE | 0802 | | Ngozi | 0803 | | Tunde | 0802 | +--------+--------+ +--------+--------+
Mini summary: Clean data gives correct answers. Messy data causes mistakes. Copilot helps you clean data.
Definition: A duplicate is a row or value that appears more than once. Removing duplicates means keeping only one copy.
Why it is important: Duplicates waste space and cause wrong counts.
Simple explanation: Imagine calling the same customer three times because their name appears three times in your list. Removing duplicates stops that.
Real-life example: A bank does not want to send the same statement twice.
School example: A teacher does not want to mark the same student twice.
Home example: A shopping list should not say “milk” three times.
Nigerian example: A market trader does not want to sell the same item twice to the same customer by mistake.
Illustration:
Before: After: +--------+ +--------+ | Ada | | Ada | | Tunde | | Tunde | | Ada | | Ngozi | | Ngozi | +--------+ | Tunde | +--------+ Ask Copilot: "Remove duplicate names"
Step-by-step:
Mini summary: Duplicates are repeated values. Remove them with Copilot and the Remove Duplicates tool.
Definition: Splitting full names means breaking a name like “Ada Okeke” into “Ada” (first name) and “Okeke” (last name).
Why it is important: Separate first and last names are easier to sort, search, and use in messages.
Simple explanation: Imagine cutting a long piece of paper into two smaller pieces. Each piece is easier to use.
Real-life example: A bank needs first and last names for official letters.
School example: A teacher needs first and last names in separate columns.
Home example: A birthday list uses first names for cakes and last names for invitations.
Nigerian example: A trader uses first names for greetings and last names for records.
Illustration:
Before: +----------------+ | Full Name | +----------------+ | Ada Okeke | | Tunde Balogun | +----------------+ After: +--------+---------+ | First | Last | +--------+---------+ | Ada | Okeke | | Tunde | Balogun | +--------+---------+ Ask Copilot: "Split full name into first and last"
Step-by-step:
=LEFT(A2, FIND(" ",A2)-1) for first name.=RIGHT(A2, LEN(A2)-FIND(" ",A2)) for last name.Mini summary: Splitting names gives you first and last names in separate columns. Copilot writes the formulas.
Definition: Joining text means putting two or more pieces of text together into one cell.
Why it is important: Joining helps you make full names, addresses, or messages.
Simple explanation: Imagine gluing two pieces of paper together to make one long piece.
Real-life example: Making a full address from street, city, and country.
School example: Making a full name from first and last names.
Home example: Making a greeting like “Hello Ada, welcome!”
Nigerian example: Making a message like “Hello Ada from Lagos.”
Illustration:
Before: +--------+---------+ | First | Last | +--------+---------+ | Ada | Okeke | +--------+---------+ After: +----------------+ | Full Name | +----------------+ | Ada Okeke | +----------------+ Ask Copilot: "Join first and last names with a space" Copilot: =A2 & " " & B2
Step-by-step:
=A2 & " " & B2.Mini summary: Joining text combines columns. Use & or CONCAT. Copilot writes the formula.
Definition: Changing text case means making text all UPPER CASE, all lower case, or Proper Case.
Why it is important: Same case makes data look neat and easy to compare.
Simple explanation: Imagine writing your name always the same way. It looks tidy.
Real-life example: A bank writes all names in proper case.
School example: A teacher writes all names in capital letters.
Home example: A shopping list written in the same style.
Nigerian example: A trader writes all customer names the same way.
Illustration:
Before: ada okeke ADA OKEKE Ada Okeke After (Proper Case): Ada Okeke Ada Okeke Ada Okeke Ask Copilot: "Change all names to proper case" Copilot: =PROPER(A2)
Step-by-step:
=PROPER(A2).Mini summary: Use UPPER, LOWER, or PROPER to change text case. Copilot writes the formula.
Definition: Fixing dates and numbers means making them follow the same format.
Why it is important: Different formats confuse Excel and give wrong results.
Simple explanation: Imagine writing dates as “1/2/2024” in one row and “2 Jan 2024” in another. Excel gets confused.
Real-life example: A bank uses the same date format for all transactions.
School example: A teacher uses the same date format for all exams.
Home example: A calendar uses the same date style throughout.
Nigerian example: A trader writes all dates as DD/MM/YYYY.
Illustration:
Before: +------------+ | Date | +------------+ | 1/2/2024 | | 2 Jan 2024 | | 03-02-2024 | +------------+ After: +------------+ | Date | +------------+ | 01/02/2024 | | 02/02/2024 | | 03/02/2024 | +------------+ Ask Copilot: "Format all dates as DD/MM/YYYY"
Step-by-step:
Mini summary: Fix dates and numbers by using the same format. Copilot shows you how.
Definition: Filling missing values means putting something in empty cells.
Why it is important: Empty cells can cause errors in formulas.
Simple explanation: Imagine a form with a missing name. You need to fill it before submitting.
Real-life example: A bank needs every customer’s phone number.
School example: A teacher needs a score for every student.
Home example: A shopping list needs a price for every item.
Nigerian example: A trader needs a price for every good in the stall.
Illustration:
Before: +--------+--------+ | Name | Score | +--------+--------+ | Ada | 85 | | Tunde | | | Ngozi | 90 | +--------+--------+ After: +--------+--------+ | Name | Score | +--------+--------+ | Ada | 85 | | Tunde | 0 | | Ngozi | 90 | +--------+--------+ Ask Copilot: "Fill empty scores with 0"
Step-by-step:
Mini summary: Fill missing values to keep formulas working. Copilot shows you how.
Definition: Sorting means arranging data in order, like A to Z or smallest to largest.
Why it is important: Sorted data is easier to read and search.
Simple explanation: Imagine arranging books on a shelf from A to Z.
Real-life example: A phone book is sorted by names.
School example: A class register is sorted by surnames.
Home example: A shopping list sorted by section of the market.
Nigerian example: A trader sorts goods by price from cheapest to most expensive.
Illustration:
Before: After (A to Z): +--------+ +--------+ | Ngozi | | Ada | | Ada | | Ngozi | | Tunde | | Tunde | +--------+ +--------+ Ask Copilot: "Sort names from A to Z"
Step-by-step:
Mini summary: Sorting arranges data in order. Copilot shows you how to sort.
Definition: Filtering means showing only the rows that meet a condition.
Why it is important: Filters help you focus on what you need.
Simple explanation: Imagine looking only at the red cars in a parking lot. Filtering hides the others.
Real-life example: An online shop filters products by price.
School example: A teacher filters students who scored above 70.
Home example: Filtering a shopping list to show only items under ₦500.
Nigerian example: A trader filters goods to show only rice.
Illustration:
Before filter: After filter (Score > 80): +--------+--------+ +--------+--------+ | Name | Score | | Name | Score | +--------+--------+ +--------+--------+ | Ada | 85 | | Ada | 85 | | Tunde | 65 | | Ngozi | 90 | | Ngozi | 90 | +--------+--------+ +--------+--------+ Ask Copilot: "Show only rows where score is above 80"
Step-by-step:
Mini summary: Filtering shows only rows you want. Copilot shows you how to filter.
Definition: Extra spaces are unwanted gaps before, after, or inside text.
Why it is important: Extra spaces make data look messy and cause lookup errors.
Simple explanation: Imagine writing “ Ada ” with spaces on both sides. It looks wrong.
Real-life example: A bank does not want extra spaces in account numbers.
School example: A teacher does not want spaces before names.
Home example: A shopping list without extra spaces.
Nigerian example: A trader does not want spaces in phone numbers.
Illustration:
Before: After: +-------------+ +-----------+ | " Ada " | | "Ada" | | "Tunde " | | "Tunde" | +-------------+ +-----------+ Ask Copilot: "Remove extra spaces from all names" Copilot: =TRIM(A2)
Step-by-step:
=TRIM(A2).Mini summary: Extra spaces cause problems. Use TRIM to remove them. Copilot writes the formula.
Definition: Sometimes numbers are stored as text. They look like numbers but cannot be used in calculations.
Why it is important: You cannot add or average text numbers.
Simple explanation: Imagine a price tag that is written on paper instead of printed on the item. You cannot scan it.
Real-life example: A bank needs real numbers, not text, to calculate interest.
School example: A teacher needs real numbers to calculate averages.
Home example: A budget needs real numbers to add up.
Nigerian example: A trader needs real numbers to calculate profit.
Illustration:
Text number: "500" --> cannot be added Real number: 500 --> can be added Ask Copilot: "Convert text numbers to real numbers"
Step-by-step:
Mini summary: Text numbers cannot be calculated. Convert them to real numbers. Copilot shows you how.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: A small mistake can make your data worse.
Simple explanation: Imagine cleaning your room but throwing away something important by mistake.
Real-life example: A bank accidentally deleting a customer’s record.
School example: A teacher accidentally deleting a student’s score.
Home example: Accidentally throwing away the shopping list.
Nigerian example: A trader accidentally deleting a customer’s phone number.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Deleting the wrong rows | Lose important data | Work on a copy |
| Removing duplicates from the wrong column | Lose different customers | Check the column |
| Forgetting to save before cleaning | Cannot undo | Save a backup |
| Using the wrong case formula | Wrong capitalisation | Use PROPER or UPPER |
| Not checking after TRIM | Still messy | Check the result |
| Converting text numbers wrong | Still text | Use VALUE or Text to Columns |
Mini summary: Common mistakes include deleting the wrong data and forgetting to save. Always work on a copy.
Definition: Best practices are good habits that make cleaning safe and easy.
Why it is important: Good habits save time and prevent mistakes.
Simple explanation: Like washing your hands before cooking. It keeps things safe.
Real-life example: A chef keeping the kitchen clean.
School example: A student keeping their notebook neat.
Home example: A family keeping the house tidy.
Nigerian example: A trader keeping the stall clean and organised.
List of best practices:
Mini summary: Best practices: work on a copy, use clear headings, and check your results. Copilot is your helper.
Let’s clean a messy customer list from start to finish.
Step 1: Copy your messy list to a new sheet.
Step 2: Ask Copilot: “Remove duplicate customers.”
Step 3: Ask Copilot: “Remove extra spaces from names.”
Step 4: Ask Copilot: “Change all names to proper case.”
Step 5: Ask Copilot: “Split full names into first and last names.”
Step 6: Ask Copilot: “Join first and last names back into one column.” (to check)
Step 7: Ask Copilot: “Convert any text phone numbers to real numbers.”
Step 8: Ask Copilot: “Fill empty phone numbers with ‘Unknown’.”
Step 9: Sort the list from A to Z.
Step 10: Save the cleaned sheet.
Illustration:
Messy list
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Remove duplicates
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Remove extra spaces
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Change case to Proper
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Split names
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Fix numbers
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Fill missing values
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Sort A to Z
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Clean list 🎉
Mini summary: Cleaning a customer list uses many Copilot skills. Follow the steps and save your work.
Let’s build a complete cleaned customer workbook.
Step 1: Open Excel and create a sheet called “Messy”.
Step 2: Type or paste a messy list of names, phones, and amounts owed.
Step 3: Make a copy called “Clean”.
Step 4: Use Copilot to remove duplicates, trim spaces, and change case.
Step 5: Use Copilot to split names into first and last.
Step 6: Use Copilot to fix phone numbers and fill missing values.
Step 7: Sort the clean list from A to Z.
Step 8: Add a Total row using SUM for amounts owed.
Step 9: Add a note explaining what you did.
Step 10: Save as “My_Clean_Customers”.
Illustration:
+--------+---------+---------+--------+ | First | Last | Phone | Owed | +--------+---------+---------+--------+ | Ada | Okeke | 0801 | 500 | | Ngozi | Eze | 0802 | 300 | | Tunde | Balogun | 0803 | 700 | +--------+---------+---------+--------+ Total Owed: ₦1500
Mini summary: This workbook combines everything you learned. It is clean, organised, and ready to use.
| Word | Simple Definition |
|---|---|
| Clean data | Data that is correct, complete, and organised. |
| Messy data | Data with mistakes, duplicates, or missing parts. |
| Duplicate | A value or row that appears more than once. |
| Split | Break one value into two or more parts. |
| Join | Put two or more values together. |
| Case | Capital or small letters (UPPER, lower, Proper). |
| TRIM | A formula that removes extra spaces. |
| PROPER | A formula that makes text Proper Case. |
| UPPER | A formula that makes text ALL CAPS. |
| LOWER | A formula that makes text all small. |
| Sort | Arrange data in order. |
| Filter | Show only rows that meet a condition. |
| Missing value | An empty cell where data should be. |
| Text number | A number stored as text, not a real number. |
| Backup | A copy of your data for safety. |
=PROPER(A2) in a new column.
Messy Data
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Make a Copy
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Remove Duplicates
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Trim Spaces
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Fix Case
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Split/Join Text
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Fix Dates/Numbers
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Fill Missing Values
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Sort and Filter
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Clean Data 🎉
"Ada Okeke"
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+--> First name: "Ada"
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+--> Last name: "Okeke"
Before sort: After sort: Ngozi Ada Ada Ngozi Tunde Tunde Before filter: After filter (score > 80): Ada 85 Ada 85 Tunde 65 Ngozi 90 Ngozi 90
" Ada " --> TRIM --> "Ada" "Tunde " --> TRIM --> "Tunde"
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Formula | What It Does | Example |
|---|---|---|
| UPPER | All capital letters | ADA OKEKE |
| LOWER | All small letters | ada okeke |
| PROPER | First letter capital | Ada Okeke |
| Feature | Sort | Filter |
|---|---|---|
| Purpose | Arrange data | Show only some rows |
| Changes order? | Yes | No (hides others) |
| Use case | A to Z | Score > 80 |
| Feature | Split | Join |
|---|---|---|
| Purpose | Break one into many | Combine many into one |
| Example | "Ada Okeke" into "Ada" and "Okeke" | "Ada" + "Okeke" into "Ada Okeke" |
| Feature | Clean Data | Messy Data |
|---|---|---|
| Accuracy | High | Low |
| Duplicates | None | Many |
| Format | Consistent | Mixed |
| Use in formulas | Works well | Causes errors |
Lesson 1: Clean data gives correct answers. Messy data causes mistakes.
Lesson 2: Remove duplicates to avoid double-counting.
Lesson 3: Split full names into first and last names.
Lesson 4: Join text to make full names or messages.
Lesson 5: Use PROPER, UPPER, or LOWER for consistent case.
Lesson 6: Fix dates and numbers to the same format.
Lesson 7: Fill missing values with a sensible default.
Lesson 8: Sorting arranges data in order.
Lesson 9: Filtering shows only rows you want.
Lesson 10: Use TRIM to remove extra spaces.
Lesson 11: Convert text numbers to real numbers.
Lesson 12: Common mistakes include deleting the wrong data.
Lesson 13: Best practices: work on a copy, use clear headings, check results.
Lesson 14: Clean a customer list step by step with Copilot.
Lesson 15: Build a clean customer workbook using Copilot.
Congratulations! You have finished Module Three of Copilot in Microsoft Excel – Level Two. You learned why clean data matters. You learned how to remove duplicates, split full names, join text, change text case, fix dates and numbers, fill missing values, sort and filter data, remove extra spaces, and convert text numbers to real numbers. You cleaned a customer list from start to finish. You built a clean customer workbook. You now know common mistakes and best practices. Most importantly, you can turn messy data into clean, organised data with Copilot as your helper. Keep practising, and you will become a Copilot in Excel expert!
Match the tool to what it does.
| Tool | What It Does |
|---|---|
| 1. TRIM | A. Change text to Proper Case |
| 2. PROPER | B. Remove extra spaces |
| 3. Sort | C. Show only some rows |
| 4. Filter | D. Arrange data in order |
| 5. Remove Duplicates | E. Delete repeated rows |
Answers: 1-B, 2-A, 3-D, 4-C, 5-E
Title: “Clean a Messy Customer List Together”
Instructions: In groups of 3–4, create a messy customer list in Excel. Use Copilot to clean it: remove duplicates, trim spaces, fix case, split names, and sort. One person types, one person asks Copilot, one person checks, and one person presents. Share your cleaned list with the class.
Goal: Practice cleaning data with Copilot.
Task: Create a small Excel sheet with five messy names (different cases, extra spaces). Use Copilot to:
Hint: Type names in column A, then use new columns for cleaned names.
Project: “My Clean Contact List”
Create an Excel sheet with at least 10 contacts. Include full name, phone, and email. Make the list messy on purpose (duplicates, extra spaces, mixed case, missing emails). Then use Copilot to:
Example output:
+--------+---------+---------+---------------------+ | First | Last | Phone | Email | +--------+---------+---------+---------------------+ | Ada | Okeke | 0801 | ada@example.com | | Ngozi | Eze | 0802 | unknown@example.com | | Tunde | Balogun | 0803 | tunde@example.com | +--------+---------+---------+---------------------+
Assignment: Create a new Excel workbook called Cleaned_Data. In the workbook, do the following:
Submit: Your workbook file and screenshots of the messy sheet and the clean sheet.
In Module Four, we will learn how to analyse data with Copilot. We will cover:
To prepare, make sure you have completed the practical assignment and have a clean data sheet ready. Review your notes on cleaning data. Bring your curiosity!
See you in Module Four!
End of Module Three – Copilot in Microsoft Excel – Level Two
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Welcome back, Excel explorer! In Module One, you learned what Copilot is and how to open it. In Module Two, you learned how to write formulas with Copilot. In Module Three, you learned how to clean and organise messy data.
Now it is time for something very exciting: analysing data with Copilot. Analysing means looking at your data carefully to find answers, patterns, and important information. For example: How much did we sell this month? Which product sells the most? Who are our best customers? What is the average score? Are sales going up or down?
In this module, we will learn how to use Copilot to summarise data, find totals, averages, and counts, spot trends and outliers, create PivotTables, ask questions in plain English, build quick reports, and use conditional formatting suggestions. By the end, you will be able to turn numbers into useful insights.
Let’s begin!
After finishing this module, you will be able to:
Tunde runs a small phone accessories shop in Ibadan. He sells chargers, earphones, phone cases, and screen protectors. Every day, he records his sales in Excel. At the end of the month, he has hundreds of rows of data.
One day, Tunde’s father asked him, “Tunde, which product sells the most? How much did you make this month? Which day is your best day for sales?”
Tunde looked at his Excel sheet. It had many rows and columns. He did not know where to start. He tried to count manually but got confused.
His friend Amara said, “Tunde, use Copilot! Just ask it questions in plain English.”
Tunde opened Copilot and typed: “Which product has the highest total sales?” Copilot analysed the data and replied: “Phone cases have the highest total sales at ₦45,000.” Tunde was amazed. He asked more questions: “What is the total sales for this month?” “Which day had the most sales?” “What is the average sale amount?” Copilot answered all his questions in seconds.
Tunde showed his father the answers. His father was very proud. Tunde learned that Copilot can turn a big pile of numbers into clear, useful answers.
Moral of the story: Copilot makes data analysis easy. You do not need to be a math expert. Just ask questions in plain English.
Definition: Data analysis means looking at data to find useful information, patterns, and answers.
Why it is important: Analysis helps you make good decisions based on facts, not guesses.
Simple explanation: Imagine a detective looking for clues. Data analysis is like being a detective for numbers.
Real-life example: A shop owner analyses sales to know which products to stock more.
School example: A teacher analyses test scores to know which topics students find hard.
Home example: A family analyses their budget to know where money is going.
Nigerian example: A trader analyses sales to know which goods sell best in the market.
Illustration:
Raw Data (numbers in Excel)
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Analysis with Copilot
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Useful Answers (insights)
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Better Decisions
Mini summary: Data analysis means finding useful information in your data. Copilot makes it easy.
Definition: Summarising means giving a short, clear overview of your data.
Why it is important: Summaries help you understand large amounts of data quickly.
Simple explanation: Imagine telling a friend about a long movie in just two sentences.
Real-life example: A bank summarises monthly transactions for a customer.
School example: A teacher summarises class performance in a short report.
Home example: A summary of how much you spent this week.
Nigerian example: A trader summarises daily sales in a few numbers.
Illustration:
Full Data: 100 rows of sales
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Summary:
- Total Sales: ₦250,000
- Best Product: Phone Cases
- Best Day: Saturday
- Average Sale: ₦2,500
Step-by-step:
Mini summary: Summarising gives a short overview. Copilot summarises large data in seconds.
Definition: Totals add all numbers. Averages give the middle value. Counts tell how many items.
Why it is important: These three numbers tell you a lot about your data.
Simple explanation: Imagine three questions: How much in total? What is the middle amount? How many items are there?
Real-life example: A shop finds total sales, average sale, and number of customers.
School example: A teacher finds total marks, average score, and number of students.
Home example: A family finds total spending, average weekly spend, and number of receipts.
Nigerian example: A trader finds total sales, average sale, and number of customers.
Illustration:
+--------+--------+ | Item | Amount | +--------+--------+ | Rice | 500 | | Beans | 300 | | Oil | 700 | +--------+--------+ Total = 1500 Average = 500 Count = 3 Ask Copilot: "Find total, average, and count of Amount"
Step-by-step:
=SUM(B2:B4), =AVERAGE(B2:B4), =COUNT(B2:B4).Mini summary: Totals, averages, and counts are the three most useful summary numbers. Copilot finds them quickly.
Definition: A trend is a pattern that shows how something changes over time.
Why it is important: Trends help you predict the future.
Simple explanation: Imagine watching a plant grow taller every week. That is a trend.
Real-life example: Sales going up every month is a positive trend.
School example: A student’s grades improving each term is a trend.
Home example: Electricity bills going up each month is a trend.
Nigerian example: A trader notices that sales of cold drinks go up in the hot season.
Illustration:
Sales by Month: Jan: 100 Feb: 150 Mar: 200 Apr: 250 Trend: Sales are going UP ↑ Ask Copilot: "What is the trend in sales?"
Step-by-step:
Mini summary: Trends show how things change over time. Copilot spots trends in your data.
Definition: An outlier is a value that is very different from the others.
Why it is important: Outliers can be mistakes or important discoveries.
Simple explanation: Imagine a class where everyone scored 70–80, but one student scored 10. That 10 is an outlier.
Real-life example: A bank notices a very large transaction that is unusual.
School example: A teacher notices a very low score in a class of high scores.
Home example: A very high electricity bill in a month when you were away.
Nigerian example: A trader notices a huge sale on a day when the shop was closed.
Illustration:
Scores: 75, 78, 80, 82, 10, 79 Outlier: 10 (very different) Ask Copilot: "Find outliers in the Scores column"
Step-by-step:
Mini summary: Outliers are unusual values. Copilot helps you find them.
Definition: A PivotTable is a tool that summarises large data into a small, clear table.
Why it is important: PivotTables let you see totals by category quickly.
Simple explanation: Imagine sorting a pile of cards into groups by colour and counting each group.
Real-life example: A shop finds total sales by product category.
School example: A teacher finds average scores by class.
Home example: A family finds total spending by category (food, transport, etc.).
Nigerian example: A trader finds total sales by market day.
Illustration:
Raw Data: +--------+--------+ | Item | Amount | +--------+--------+ | Rice | 500 | | Beans | 300 | | Rice | 400 | | Beans | 200 | +--------+--------+ PivotTable: +--------+--------+ | Item | Total | +--------+--------+ | Rice | 900 | | Beans | 500 | +--------+--------+ Ask Copilot: "Create a PivotTable of total sales by Item"
Step-by-step:
Mini summary: PivotTables summarise data by category. Copilot creates them from a simple request.
Definition: Plain English means normal language, not computer code.
Why it is important: You do not need to learn special commands. Just ask.
Simple explanation: Imagine asking a friend a question. Copilot understands you.
Real-life example: “What was my best-selling product last month?”
School example: “Who scored the highest in the class?”
Home example: “How much did we spend on food this month?”
Nigerian example: “Which customer owes me the most money?”
Illustration:
You: "Which product sells the most?"
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Copilot: "Phone Cases sell the most (₦45,000)"
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You: "What is the average sale amount?"
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Copilot: "The average sale amount is ₦2,500"
Step-by-step:
Mini summary: Ask questions in plain English. Copilot understands and answers.
Definition: A report is a document that summarises your data and findings.
Why it is important: Reports help you share your findings with others.
Simple explanation: Imagine writing a short note about what you found in your data.
Real-life example: A shop owner writes a monthly sales report.
School example: A teacher writes a class performance report.
Home example: A family writes a monthly budget report.
Nigerian example: A trader writes a weekly profit report.
Illustration:
Ask Copilot: "Create a monthly sales report"
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Report includes:
- Total Sales
- Best Product
- Best Day
- Average Sale
- Trend
- Recommendations
Step-by-step:
Mini summary: Copilot creates quick reports from your data.
Definition: Conditional formatting changes how cells look based on their values.
Why it is important: It makes important numbers stand out.
Simple explanation: Imagine highlighting high scores in green and low scores in red.
Real-life example: A bank highlights large transactions.
School example: A teacher highlights failing scores in red.
Home example: A budget highlights overspending in red.
Nigerian example: A trader highlights low stock items in red.
Illustration:
Scores: 85, 65, 90, 45, 78
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Conditional Formatting:
- Green: 80 and above
- Yellow: 60–79
- Red: below 60
Step-by-step:
Mini summary: Conditional formatting highlights important numbers. Copilot suggests the rules.
Let’s analyse a sales sheet from start to finish.
Step 1: Open your sales data in Excel.
Step 2: Ask Copilot: “Summarise this sales data.”
Step 3: Ask Copilot: “What is the total sales?”
Step 4: Ask Copilot: “What is the average sale?”
Step 5: Ask Copilot: “Which product sells the most?”
Step 6: Ask Copilot: “What is the trend in sales over time?”
Step 7: Ask Copilot: “Create a PivotTable of sales by product.”
Step 8: Ask Copilot: “Create a monthly sales report.”
Step 9: Apply conditional formatting to highlight top products.
Step 10: Save your analysis.
Illustration:
Sales Data
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Summarise
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Total & Average
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Best Product
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Trend
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PivotTable
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Report
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Conditional Formatting
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Saved Analysis 🎉
Mini summary: Analysing a sales sheet uses many Copilot skills. Follow the steps.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: A small mistake can lead to wrong conclusions.
Simple explanation: Imagine reading the wrong number on a ruler.
Real-life example: A bank misreads a transaction amount.
School example: A teacher misreads a score.
Home example: A family misreads a bill.
Nigerian example: A trader misreads a price.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Analysing messy data | Wrong answers | Clean data first |
| Forgetting to check totals | Wrong totals | Verify with SUM |
| Using the wrong column | Wrong analysis | Check column headings |
| Ignoring outliers | Wrong conclusions | Check outliers |
| Not saving work | Lose analysis | Save often |
| Trusting Copilot blindly | Wrong results | Check answers |
Mini summary: Common mistakes include analysing messy data and not checking results. Always verify.
Definition: Best practices are good habits that make analysis safe and easy.
Why it is important: Good habits save time and prevent mistakes.
Simple explanation: Like washing your hands before cooking.
Real-life example: A chef keeping the kitchen clean.
School example: A student keeping their notebook neat.
Home example: A family keeping the house tidy.
Nigerian example: A trader keeping the stall clean and organised.
List of best practices:
Mini summary: Best practices: clean data, clear headings, check results, save often.
Copilot can answer many business questions.
Question 1: “What is my total sales for the month?”
Question 2: “Which product sells the most?”
Question 3: “Which day has the highest sales?”
Question 4: “Who are my top 5 customers?”
Question 5: “What is my average sale amount?”
Question 6: “Are sales going up or down?”
Question 7: “What is my profit margin?”
Question 8: “Which products are not selling well?”
Illustration:
You: "What is my total sales this month?"
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Copilot: "Your total sales this month is ₦250,000"
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You: "Which product sells the most?"
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Copilot: "Phone Cases sell the most (₦45,000)"
Mini summary: Copilot answers business questions in plain English.
Let’s build a complete analysis workbook.
Step 1: Open a clean sales data sheet.
Step 2: Ask Copilot: “Summarise this data.”
Step 3: Ask Copilot: “Create a PivotTable of sales by product.”
Step 4: Ask Copilot: “What is the trend in sales?”
Step 5: Ask Copilot: “Create a monthly sales report.”
Step 6: Apply conditional formatting.
Step 7: Add charts to your report.
Step 8: Write a summary of your findings.
Step 9: Save as “My_Analysis_Report”.
Illustration:
+----------------------------------------+ | ANALYSIS REPORT | | Total Sales: ₦250,000 | | Best Product: Phone Cases | | Best Day: Saturday | | Average Sale: ₦2,500 | | Trend: Going UP ↑ | | [Chart: Sales by Product] | | [Chart: Sales by Day] | +----------------------------------------+
Mini summary: This workbook combines everything you learned. It is a complete analysis report.
Now you can turn raw data into useful decisions.
Step 1: Collect your data.
Step 2: Clean your data (Module 3).
Step 3: Analyse your data with Copilot (Module 4).
Step 4: Create charts and reports.
Step 5: Share your findings.
Step 6: Make better decisions.
Illustration:
Raw Data
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Clean Data
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Analyse with Copilot
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Charts and Reports
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Share Findings
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Better Decisions 🎉
Mini summary: Data analysis turns numbers into decisions. Copilot helps at every step.
| Word | Simple Definition |
|---|---|
| Data analysis | Looking at data to find useful information. |
| Summary | A short overview of data. |
| Total | The sum of all numbers. |
| Average | The middle value. |
| Count | How many items. |
| Trend | A pattern over time. |
| Outlier | A value very different from others. |
| PivotTable | A tool that summarises data by category. |
| Report | A document that summarises findings. |
| Conditional formatting | Changing cell look based on values. |
| Insight | A useful discovery from data. |
| Plain English | Normal language, not code. |
| Forecast | A prediction of the future. |
| Metric | A number that measures something. |
| Dashboard | A visual display of key numbers. |
Raw Data
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Clean Data
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Summarise
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Find Totals/Averages
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Spot Trends
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Create PivotTables
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Ask Questions
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Create Reports
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Make Decisions 🎉
Sales
250 | *
200 | *
150 | *
100 | *
50 |
+----------------
Jan Feb Mar Apr
Trend: Going UP ↑
Raw Data: Item Amount Rice 500 Beans 300 Rice 400 Beans 200 PivotTable: Item Total Rice 900 Beans 500
Scores: 75, 78, 80, 82, 10, 79
^
Outlier (10)
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Metric | What It Does | Example |
|---|---|---|
| Total | Adds all numbers | Total sales = ₦250,000 |
| Average | Finds the middle value | Average sale = ₦2,500 |
| Count | Counts items | Number of sales = 100 |
| Feature | Trend | Outlier |
|---|---|---|
| What it is | A pattern over time | An unusual value |
| Example | Sales going up | A very low score |
| Use | Predict the future | Find mistakes or discoveries |
| Feature | Summary | Report |
|---|---|---|
| Length | Short | Longer |
| Purpose | Quick overview | Share findings |
| Example | Total sales | Monthly sales report |
| Feature | PivotTable | Normal Table |
|---|---|---|
| Summarises? | Yes | No |
| Groups data? | Yes | No |
| Interactive? | Yes | No |
| Best for | Summaries | Raw data |
Lesson 1: Data analysis means finding useful information in data.
Lesson 2: Summaries give a quick overview of data.
Lesson 3: Totals, averages, and counts are key summary numbers.
Lesson 4: Trends show how things change over time.
Lesson 5: Outliers are unusual values that may be mistakes or discoveries.
Lesson 6: PivotTables summarise data by category.
Lesson 7: Ask Copilot questions in plain English.
Lesson 8: Copilot creates quick reports from your data.
Lesson 9: Conditional formatting highlights important numbers.
Lesson 10: Analyse a sales sheet step by step with Copilot.
Lesson 11: Common mistakes include analysing messy data.
Lesson 12: Best practices: clean data, check results, save often.
Lesson 13: Copilot answers business questions in plain English.
Lesson 14: Build a complete analysis workbook with Copilot.
Lesson 15: Data analysis turns numbers into decisions.
Congratulations! You have finished Module Four of Copilot in Microsoft Excel – Level Two. You learned what data analysis means. You learned how to summarise data, find totals, averages, and counts, spot trends and outliers, create PivotTables, ask questions in plain English, create quick reports, and use conditional formatting suggestions. You analysed a sales sheet from start to finish. You built a complete analysis workbook. You now know common mistakes and best practices. Most importantly, you can turn numbers into useful answers with Copilot as your helper. Keep practising, and you will become a Copilot in Excel expert!
Match the tool to what it does.
| Tool | What It Does |
|---|---|
| 1. SUM | A. Finds the middle value |
| 2. AVERAGE | B. Adds all numbers |
| 3. PivotTable | C. Summarises by category |
| 4. Conditional Formatting | D. Highlights important numbers |
| 5. Copilot | E. Answers questions in plain English |
Answers: 1-B, 2-A, 3-C, 4-D, 5-E
Title: “Analyse a Sales Sheet Together”
Instructions: In groups of 3–4, create a sales sheet in Excel with at least 20 rows. Use Copilot to summarise, find totals, averages, counts, trends, and create a PivotTable. One person types, one person asks Copilot, one person checks, and one person presents. Share your findings with the class.
Goal: Practice analysing data with Copilot.
Task: Create a small Excel sheet with ten rows of data (e.g., scores, sales). Use Copilot to:
Hint: Start with a clean table with headings.
Project: “My Sales Analysis Report”
Create an Excel sheet with at least 20 sales records. Include date, product, quantity, and amount. Use Copilot to:
Example output:
+----------------------------------------+ | SALES ANALYSIS REPORT | | Total Sales: ₦250,000 | | Best Product: Phone Cases | | Average Sale: ₦2,500 | | Trend: Going UP ↑ | | [Chart: Sales by Product] | +----------------------------------------+
Assignment: Create a new Excel workbook called Analysis_Report. In the workbook, do the following:
Submit: Your workbook file and screenshots of your analysis and report.
In Module Five, we will learn how to create charts and visuals with Copilot. We will cover:
To prepare, make sure you have completed the practical assignment and have a clean data sheet ready. Review your notes on analysis. Bring your curiosity!
See you in Module Five!
End of Module Four – Copilot in Microsoft Excel – Level Two
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Welcome back, young Excel creator! In Module One, you learned what Copilot is. In Module Two, you learned formulas. In Module Three, you learned how to clean data. In Module Four, you learned how to analyse data and find answers.
Now it is time for something very exciting: charts and visuals with Copilot. A chart is a picture of your data. Instead of looking at rows and rows of numbers, you can look at a colourful picture that shows the same information. Pictures are easier to understand than numbers.
In this module, we will learn how to create bar charts, line charts, pie charts, scatter plots, and dashboards with Copilot. We will also learn how to customise charts, add titles and labels, and make charts tell a story. By the end, you will be able to turn any data into beautiful, clear visuals.
Let’s begin!
After finishing this module, you will be able to:
Ada runs a small juice shop in Abuja. She sells orange juice, mango juice, pineapple juice, and watermelon juice. Every week, she records how many cups of each juice she sells in Excel.
One day, Ada’s friend asked her, “Which juice sells the best?” Ada looked at her Excel sheet. It had many rows of numbers. She could not quickly tell which juice was the best.
Her cousin Emeka said, “Ada, use Copilot to make a chart! A chart will show you the answer in a picture.”
Ada opened Copilot and asked: “Create a bar chart of juice sales.” Copilot made a colourful bar chart. The tallest bar was for mango juice. Ada could see at a glance that mango juice was her best seller.
Ada was amazed. She asked Copilot: “Create a pie chart to show the share of each juice.” Copilot made a beautiful pie chart. Ada could see that mango juice was 40% of her sales, orange juice was 30%, pineapple juice was 20%, and watermelon juice was 10%.
Ada showed the charts to her mother. Her mother said, “Ada, these charts are beautiful! Now I can see exactly which juice to make more of.” Ada learned that charts make data easy to understand.
Moral of the story: Charts turn numbers into pictures. Pictures are easier to understand. Copilot makes charts in seconds.
Definition: A chart is a picture that shows data. It uses shapes like bars, lines, or slices to represent numbers.
Why it is important: Charts make data easy to understand. You can see patterns and answers at a glance.
Simple explanation: Imagine trying to describe a person’s face using only numbers. It is hard. But a picture makes it easy. Charts are like pictures for numbers.
Real-life example: A bank shows a pie chart of spending categories.
School example: A teacher shows a bar chart of class scores.
Home example: A family shows a pie chart of monthly expenses.
Nigerian example: A trader shows a bar chart of weekly sales.
Illustration:
Without chart: With chart:
Sales: 100, 150, 200 |
| *
| * *
| * * *
+---------
Jan Feb Mar
Mini summary: Charts are pictures for data. They make numbers easy to understand. Copilot makes charts in seconds.
Definition: A bar chart uses bars of different heights to show values.
Why it is important: Bar charts are great for comparing things.
Simple explanation: Imagine comparing the heights of your friends. The tallest bar is the tallest friend.
Real-life example: A shop compares sales of different products.
School example: A teacher compares scores of different students.
Home example: A family compares spending on different items.
Nigerian example: A trader compares sales on different market days.
Illustration:
Bar Chart: Juice Sales
Mango |████████████████ 40
Orange |████████████ 30
Pineapple |████████ 20
Watermelon|████ 10
+-------------------
Ask Copilot: "Create a bar chart of juice sales"
Step-by-step:
Mini summary: Bar charts compare values using bars. Copilot creates them from a simple request.
Definition: A line chart uses a line to show how values change over time.
Why it is important: Line charts show trends clearly.
Simple explanation: Imagine drawing a line to show your height each year. The line shows how you grew.
Real-life example: A bank shows how savings grow each month.
School example: A teacher shows how a student’s grades improve each term.
Home example: A family shows how electricity bills change each month.
Nigerian example: A trader shows how sales change each week.
Illustration:
Line Chart: Monthly Sales
300 | *
250 | *
200 | *
150 | *
100 |
+----------------
Jan Feb Mar Apr
Trend: Going UP ↑
Ask Copilot: "Create a line chart of monthly sales"
Step-by-step:
Mini summary: Line charts show trends over time. Copilot creates them easily.
Definition: A pie chart uses slices of a circle to show parts of a whole.
Why it is important: Pie charts show how something is divided.
Simple explanation: Imagine cutting a pizza into slices. Each slice is a part of the whole pizza.
Real-life example: A bank shows how money is spent: food, rent, transport.
School example: A teacher shows how many students got A, B, C, D, F.
Home example: A family shows how the monthly budget is divided.
Nigerian example: A trader shows the share of each product in total sales.
Illustration:
Pie Chart: Juice Sales Share
+--------+
/ Mango \
/ 40% \
| Orange 30% |
| Pineapple20%|
\ Watermelon/
\ 10% /
+--------+
Ask Copilot: "Create a pie chart of juice sales share"
Step-by-step:
Mini summary: Pie charts show parts of a whole. Copilot creates them in seconds.
Definition: A scatter plot uses dots to show the relationship between two sets of numbers.
Why it is important: Scatter plots show if two things are related.
Simple explanation: Imagine plotting your study hours against your test scores. If more study means higher scores, the dots go up.
Real-life example: A shop shows the relationship between price and sales.
School example: A teacher shows the relationship between attendance and scores.
Home example: A family shows the relationship between electricity use and bill amount.
Nigerian example: A trader shows the relationship between price and demand.
Illustration:
Scatter Plot: Study Hours vs Scores
100 | *
80 | * *
60 | * *
40 | *
+----------------
1 2 3 4 5
More study = Higher score
Ask Copilot: "Create a scatter plot of study hours vs scores"
Step-by-step:
Mini summary: Scatter plots show relationships between two things. Copilot creates them easily.
Definition: Customising means changing how a chart looks.
Why it is important: Customised charts are clearer and more beautiful.
Simple explanation: Imagine decorating a cake. You choose the colour, the shape, and the message.
Real-life example: A bank uses the company colours in its charts.
School example: A teacher uses bright colours for a class chart.
Home example: A family uses favourite colours in a budget chart.
Nigerian example: A trader uses green and white for a chart.
Illustration:
Before customising: After customising:
+--------+ +========+
| Chart | | TITLE |
+--------+ | Chart |
| Labels |
+========+
Ask Copilot: "Change the chart title to 'Juice Sales' and add data labels"
Step-by-step:
Mini summary: Customising makes charts clearer and more beautiful. Copilot does it with simple requests.
Definition: A title tells what the chart is about. Labels show the values. A legend explains the colours.
Why it is important: Titles, labels, and legends make charts easy to understand.
Simple explanation: Imagine a book with no title. You would not know what it is about.
Real-life example: A bank chart has a title, labels, and a legend.
School example: A teacher adds a title to a class chart.
Home example: A family adds labels to a budget chart.
Nigerian example: A trader adds a legend to a sales chart.
Illustration:
+--------------------------------+ | JUICE SALES (Title) | | Mango |████████ 40 (Label)| | Orange |████████ 30 | | Pineapple |██████ 20 | | Watermelon|████ 10 | | Legend: ██ = Sales | +--------------------------------+
Step-by-step:
Mini summary: Titles, labels, and legends make charts clear. Copilot adds them quickly.
Definition: A dashboard is a collection of charts and numbers on one page.
Why it is important: Dashboards show everything important at a glance.
Simple explanation: Imagine a car dashboard. It shows speed, fuel, and temperature all in one place.
Real-life example: A bank has a dashboard showing income, expenses, and savings.
School example: A teacher has a dashboard showing class averages.
Home example: A family has a dashboard showing monthly spending.
Nigerian example: A trader has a dashboard showing daily sales and profit.
Illustration:
+----------------------------------------+ | SALES DASHBOARD | | +--------+ +--------+ +--------+ | | | Total | | Best | | Average| | | | ₦250k | | Mango | | ₦2,500 | | | +--------+ +--------+ +--------+ | | +------------------+ +------------+ | | | Bar Chart | | Pie Chart | | | +------------------+ +------------+ | +----------------------------------------+ Ask Copilot: "Create a dashboard with my key numbers and charts"
Step-by-step:
Mini summary: Dashboards show everything important at a glance. Copilot creates them easily.
Definition: Making charts tell a story means using charts to explain something clearly.
Why it is important: Stories help people understand and remember.
Simple explanation: Imagine telling a story with pictures instead of words.
Real-life example: A bank uses charts to show how savings grow.
School example: A teacher uses charts to show class progress.
Home example: A family uses charts to show budget changes.
Nigerian example: A trader uses charts to show business growth.
Illustration:
Story: "Our sales grew from January to April"
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Chart 1: Bar chart of monthly sales
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Chart 2: Line chart showing the trend up
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Chart 3: Pie chart showing best product
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Conclusion: Sales are growing!
Step-by-step:
Mini summary: Charts can tell a story. Copilot helps you make the story clear.
Definition: Different charts are best for different things.
Why it is important: The right chart makes the message clear. The wrong chart confuses.
Simple explanation: Imagine using a spoon to cut meat. The right tool matters.
Real-life example: A bank uses a line chart for trends and a pie chart for shares.
School example: A teacher uses a bar chart for comparisons.
Home example: A family uses a pie chart for budget shares.
Nigerian example: A trader uses a bar chart for product comparison.
Table of chart uses:
| Chart | Best For | Example |
|---|---|---|
| Bar | Comparing things | Sales of different products |
| Line | Showing trends over time | Monthly sales |
| Pie | Showing parts of a whole | Budget shares |
| Scatter | Showing relationships | Study vs scores |
Mini summary: Choose the right chart for your message. Copilot helps you choose.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: A wrong chart can confuse people.
Simple explanation: Imagine wearing the wrong clothes to a party. You look out of place.
Real-life example: A bank uses a pie chart for a trend. It confuses.
School example: A teacher uses a scatter plot for simple comparison.
Home example: A family uses a line chart for budget shares.
Nigerian example: A trader uses a pie chart for many categories.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Using too many charts | Confusing | Use fewer charts |
| Using the wrong chart type | Wrong message | Choose the right chart |
| Forgetting titles | Unclear | Add titles |
| Using too many colours | Messy | Use few colours |
| No data labels | Hard to read | Add labels |
| Not checking the data | Wrong chart | Check data first |
Mini summary: Common mistakes include wrong chart types and missing titles. Check your charts.
Definition: Best practices are good habits that make charts clear and beautiful.
Why it is important: Good charts communicate clearly.
Simple explanation: Like keeping your room tidy. It looks better and is easier to use.
Real-life example: A bank keeps charts simple and clear.
School example: A teacher uses few colours in charts.
Home example: A family keeps budget charts simple.
Nigerian example: A trader uses clear titles in sales charts.
List of best practices:
Mini summary: Best practices: right chart, simple design, clear title, few colours.
Let’s create charts for a sales report.
Step 1: Open your sales data.
Step 2: Ask Copilot: “Create a bar chart of sales by product.”
Step 3: Ask Copilot: “Create a line chart of monthly sales.”
Step 4: Ask Copilot: “Create a pie chart of sales share.”
Step 5: Add titles and labels to each chart.
Step 6: Arrange charts on one sheet.
Step 7: Add a text box explaining the story.
Step 8: Save as “My_Sales_Charts”.
Illustration:
+----------------------------------------+ | SALES REPORT | | Bar Chart: Sales by Product | | Line Chart: Monthly Trend | | Pie Chart: Sales Share | | Story: "Sales are growing!" | +----------------------------------------+
Mini summary: Sales reports use bar, line, and pie charts. Copilot creates them quickly.
Let’s build a complete dashboard.
Step 1: Open a clean data sheet.
Step 2: Ask Copilot: “Create a dashboard with key numbers.”
Step 3: Add a bar chart of sales by product.
Step 4: Add a line chart of monthly sales.
Step 5: Add a pie chart of sales share.
Step 6: Add key numbers (total, average, best product).
Step 7: Add a title to the dashboard.
Step 8: Arrange everything neatly.
Step 9: Save as “My_Dashboard”.
Illustration:
+----------------------------------------+ | MY DASHBOARD | | +--------+ +--------+ +--------+ | | | Total | | Best | | Average| | | | ₦250k | | Mango | | ₦2,500 | | | +--------+ +--------+ +--------+ | | +------------------+ +------------+ | | | Bar Chart | | Pie Chart | | | +------------------+ +------------+ | | +----------------------------------+ | | | Line Chart: Monthly Trend | | | +----------------------------------+ | +----------------------------------------+
Mini summary: A dashboard combines charts and numbers. Copilot creates it easily.
Now you can turn data into beautiful visuals.
Step 1: Collect your data.
Step 2: Clean your data (Module 3).
Step 3: Analyse your data with Copilot (Module 4).
Step 4: Create charts with Copilot.
Step 5: Customise your charts.
Step 6: Build a dashboard.
Step 7: Share your visuals.
Step 8: Make better decisions.
Illustration:
Raw Data
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Clean Data
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Analyse with Copilot
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Create Charts
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Customise
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Build Dashboard
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Share Visuals
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Better Decisions 🎉
Mini summary: Charts turn data into beautiful visuals. Copilot helps at every step.
| Word | Simple Definition |
|---|---|
| Chart | A picture that shows data. |
| Bar chart | Uses bars to compare values. |
| Line chart | Uses a line to show trends. |
| Pie chart | Uses slices to show parts of a whole. |
| Scatter plot | Uses dots to show relationships. |
| Dashboard | A collection of charts and numbers on one page. |
| Customise | Change how something looks. |
| Title | Text that tells what the chart is about. |
| Label | Text that shows a value. |
| Legend | Text that explains the colours. |
| Trend | A pattern over time. |
| Visual | Something you can see. |
| Data labels | Numbers shown on a chart. |
| Axis | The lines that show the scale. |
| Gridlines | Lines that help you read the chart. |
Clean Data
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Analyse Data
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Choose Chart Type
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Ask Copilot to Create
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Customise
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Add to Report
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Share Visuals 🎉
Mango |████████████████ Orange |████████████ Pineapple |████████ Watermelon|████
300 | *
250 | *
200 | *
150 | *
100 |
+----------------
Jan Feb Mar Apr
+--------+
/ Mango \
/ 40% \
| Orange 30% |
| Pineapple20%|
\ Watermelon/
\ 10% /
+--------+
+----------------------------------------+ | MY DASHBOARD | | +--------+ +--------+ +--------+ | | | Total | | Best | | Average| | | +--------+ +--------+ +--------+ | | +------------------+ +------------+ | | | Bar Chart | | Pie Chart | | | +------------------+ +------------+ | +----------------------------------------+
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Chart | Best For | Example |
|---|---|---|
| Bar | Comparing things | Sales by product |
| Line | Trends over time | Monthly sales |
| Pie | Parts of a whole | Budget shares |
| Scatter | Relationships | Study vs scores |
| Feature | Chart | Table |
|---|---|---|
| Speed to understand | Fast | Slow |
| Shows patterns | Yes | Hard |
| Shows exact numbers | Sometimes | Yes |
| Best for | Visuals | Details |
| Feature | Dashboard | Single Chart |
|---|---|---|
| Number of charts | Many | One |
| Shows key numbers | Yes | No |
| Best for | Overview | Focused view |
| Chart | Use When | Not Good For |
|---|---|---|
| Bar | Comparing categories | Trends over time |
| Line | Showing trends | Parts of a whole |
| Pie | Parts of a whole | Many categories |
Lesson 1: Charts are pictures for data. They make numbers easy to understand.
Lesson 2: Bar charts compare values using bars.
Lesson 3: Line charts show trends over time.
Lesson 4: Pie charts show parts of a whole.
Lesson 5: Scatter plots show relationships between two things.
Lesson 6: Customising makes charts clearer and more beautiful.
Lesson 7: Titles, labels, and legends make charts easy to understand.
Lesson 8: Dashboards show everything important at a glance.
Lesson 9: Charts can tell a story.
Lesson 10: Choose the right chart for your message.
Lesson 11: Common mistakes include wrong chart types.
Lesson 12: Best practices: right chart, simple design, clear title.
Lesson 13: Sales reports use bar, line, and pie charts.
Lesson 14: Build a complete dashboard with Copilot.
Lesson 15: Charts turn data into beautiful visuals.
Congratulations! You have finished Module Five of Copilot in Microsoft Excel – Level Two. You learned why charts are important. You learned how to create bar charts, line charts, pie charts, and scatter plots with Copilot. You learned how to customise charts, add titles, labels, and legends, create dashboards, and make charts tell a story. You created charts for a sales report. You built a complete dashboard. You now know common mistakes and best practices. Most importantly, you can turn data into beautiful, clear visuals with Copilot as your helper. Keep practising, and you will become a Copilot in Excel expert!
Match the chart to its use.
| Chart | Use |
|---|---|
| 1. Bar chart | A. Shows parts of a whole |
| 2. Line chart | B. Compares values |
| 3. Pie chart | C. Shows relationships |
| 4. Scatter plot | D. Shows trends over time |
| 5. Dashboard | E. Shows everything at once |
Answers: 1-B, 2-D, 3-A, 4-C, 5-E
Title: “Create a Chart Story Together”
Instructions: In groups of 3–4, create a sales sheet in Excel with at least 20 rows. Use Copilot to create a bar chart, a line chart, and a pie chart. Add titles and labels. Arrange the charts on one sheet and write a short story about what the charts show. One person types, one person asks Copilot, one person customises, and one person presents. Share your chart story with the class.
Goal: Practice creating charts and telling a story with Copilot.
Task: Create a small Excel sheet with ten rows of data (e.g., favourite foods, scores). Use Copilot to:
Hint: Start with a clean table with headings.
Project: “My Juice Sales Dashboard”
Create an Excel sheet with juice sales data (at least 5 types of juice, 20 rows). Use Copilot to:
Example output:
+----------------------------------------+ | JUICE SALES DASHBOARD | | Total: ₦50,000 | Best: Mango | | [Bar Chart] | [Pie Chart] | | [Line Chart] | [Explanation] | +----------------------------------------+
Assignment: Create a new Excel workbook called Charts_Report. In the workbook, do the following:
Submit: Your workbook file and screenshots of your charts and dashboard.
In Module Six, we will learn how to automate tasks and build real-world projects with Copilot. We will cover:
To prepare, make sure you have completed the practical assignment and have a clean data sheet with charts ready. Review your notes on charts and visuals. Bring your creativity!
See you in Module Six!
End of Module Five – Copilot in Microsoft Excel – Level Two
“Copilot in Microsoft Excel – Level Two” – Take your Excel skills to the next level
Welcome to the final module, young Excel champion! You have come a long way. In Module One, you learned what Copilot is. In Module Two, you learned formulas. In Module Three, you learned how to clean data. In Module Four, you learned how to analyse data. In Module Five, you learned how to create charts and visuals.
Now, in Module Six, we will learn something very powerful: automation and real-world projects. Automation means making Excel do repetitive tasks by itself. Instead of typing the same thing every week, you set it up once, and Excel does it for you.
We will also build complete, real-world projects. You will create a full business dashboard, automate monthly reports, use Copilot for data entry, connect Excel with other Microsoft apps, and prepare for your final assessment. By the end, you will be a true Copilot in Excel expert.
Let’s begin!
After finishing this module, you will be able to:
Chidi runs a small electronics shop in Port Harcourt. He sells chargers, earphones, phone cases, and screen protectors. Every week, he does the same tasks: he enters sales data, cleans it, creates charts, and writes a report for his father.
Chidi loved using Copilot, but he wished there was a way to avoid repeating the same steps every week. It took him about two hours each time.
His teacher said, “Chidi, you can automate your report! Use Copilot to set up a template that updates itself. Once you set it up, you just add new data, and everything else happens automatically.”
Chidi tried it. He built a template with formulas, charts, and a dashboard. He connected it to his sales sheet. Now, when he adds new sales data, the report updates automatically. What used to take two hours now takes five minutes.
Chidi’s father was very impressed. “You have become a real Excel expert,” he said. Chidi smiled. He knew that automation had changed everything.
Moral of the story: Automation saves time. Set it up once, and it works again and again. Copilot makes automation easy.
Definition: Automation means making a task happen automatically, without you doing it manually each time.
Why it is important: Automation saves time and reduces mistakes.
Simple explanation: Imagine setting an alarm to wake you up. You set it once, and it rings every morning. That is automation.
Real-life example: A bank automatically sends monthly statements.
School example: A school automatically sends exam reminders to students.
Home example: A washing machine automatically washes clothes.
Nigerian example: A POS operator automatically generates daily transaction reports.
Illustration:
Manual task: Automated task: Type data Type data once Clean data Cleaning happens automatically Create charts Charts update automatically Write report Report updates automatically (2 hours) (5 minutes)
Mini summary: Automation makes tasks happen automatically. It saves time and reduces mistakes. Copilot helps you automate.
Definition: Copilot can automate many Excel tasks when you set them up.
Why it is important: It saves you from doing the same thing again and again.
Simple explanation: You tell Copilot what you need, and it sets up the automation.
Real-life example: A shop owner automates weekly sales reports.
School example: A teacher automates grade calculation.
Home example: A family automates budget tracking.
Nigerian example: A trader automates profit calculation.
Illustration:
You: "Copilot, set up a weekly sales report template"
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Copilot: Creates formulas, charts, and a dashboard
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You: Add new data each week
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Report updates automatically!
Step-by-step:
Mini summary: Copilot helps you automate reports and tasks. Set up once, use forever.
Definition: A macro is a recorded set of steps that Excel can play back automatically.
Why it is important: Macros let you repeat many steps with one click.
Simple explanation: Imagine recording yourself doing a task. Later, you press “play,” and it does the same task again.
Real-life example: A bank uses a macro to format monthly reports.
School example: A teacher uses a macro to calculate final grades.
Home example: A family uses a macro to update the budget.
Nigerian example: A trader uses a macro to create daily sales summaries.
Illustration:
Record macro: 1. Clean data 2. Create chart 3. Add total Press "Play" → All steps happen automatically!
Step-by-step:
Mini summary: Macros record and replay steps. Copilot explains how to use them.
Definition: A business dashboard is a page that shows all key business numbers and charts in one place.
Why it is important: A dashboard shows the health of a business at a glance.
Simple explanation: Imagine the dashboard of a car. It shows speed, fuel, and temperature. A business dashboard shows sales, profit, and customers.
Real-life example: A bank has a dashboard showing income, expenses, and savings.
School example: A school has a dashboard showing student performance.
Home example: A family has a dashboard showing monthly spending.
Nigerian example: A trader has a dashboard showing daily sales and profit.
Illustration:
+----------------------------------------+ | BUSINESS DASHBOARD | | +--------+ +--------+ +--------+ | | | Sales | | Profit | |Customers| | | | ₦250k | | ₦80k | | 150 | | | +--------+ +--------+ +--------+ | | +------------------+ +------------+ | | | Bar Chart | | Pie Chart | | | +------------------+ +------------+ | +----------------------------------------+
Step-by-step:
Mini summary: A business dashboard shows key numbers and charts. Copilot creates it quickly.
Definition: An automated monthly report is a report that updates itself when new data is added.
Why it is important: It saves time and ensures the report is always up to date.
Simple explanation: Imagine a report that writes itself each month. You just add data.
Real-life example: A bank automatically sends monthly statements.
School example: A teacher automatically creates monthly performance reports.
Home example: A family automatically tracks monthly spending.
Nigerian example: A trader automatically creates monthly profit reports.
Illustration:
Add new data
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Formulas update
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Charts update
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Report updates automatically!
Step-by-step:
Mini summary: Automated reports update when data changes. Set up once, use every month.
Definition: Data entry means typing data into Excel.
Why it is important: Copilot can help speed up data entry and reduce mistakes.
Simple explanation: Instead of typing everything yourself, Copilot helps fill in the data.
Real-life example: A bank uses Copilot to enter customer details.
School example: A teacher uses Copilot to enter student names.
Home example: A family uses Copilot to enter shopping items.
Nigerian example: A trader uses Copilot to enter product prices.
Illustration:
You: "Copilot, fill in today's date for all rows"
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Copilot: Fills in the date automatically
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You: Save time!
Step-by-step:
Mini summary: Copilot speeds up data entry and reduces mistakes.
Definition: Connecting Excel with other apps means using data from Excel in Word, PowerPoint, Outlook, or Teams.
Why it is important: It saves time and keeps information consistent.
Simple explanation: Imagine using the same data in a report and a presentation without retyping.
Real-life example: A bank uses Excel data in PowerPoint presentations.
School example: A teacher uses Excel data in a Word report.
Home example: A family uses Excel data in an email.
Nigerian example: A trader uses Excel data in a WhatsApp message.
Illustration:
Excel Data
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+--> Word Report
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+--> PowerPoint Slide
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+--> Outlook Email
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+--> Teams Message
Step-by-step:
Mini summary: Excel connects with other Microsoft apps. Copilot helps you move data easily.
Definition: A real-world project is a project that solves a real problem.
Why it is important: Real-world projects show what you can do.
Simple explanation: Imagine building something useful for your family or community.
Real-life example: A business uses Copilot to track sales and expenses.
School example: A student uses Copilot to track study time.
Home example: A family uses Copilot to track monthly budget.
Nigerian example: A trader uses Copilot to track daily sales.
Illustration:
Real Problem
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Plan Solution
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Use Copilot
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Build Project
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Solve Problem 🎉
Step-by-step:
Mini summary: Real-world projects solve real problems. Copilot helps you build them.
Definition: The final assessment tests what you have learned in the course.
Why it is important: It shows that you are an Excel expert.
Simple explanation: It is like a final exam that proves your skills.
Real-life example: A driver takes a test to get a license.
School example: A student takes a final exam.
Home example: A family checks the budget at the end of the month.
Nigerian example: A trader checks profit at the end of the week.
Illustration:
Review Modules 1-5
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Practice with Copilot
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Complete Final Project
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Take Assessment
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Become an Expert 🎉
Step-by-step:
Mini summary: Prepare well for the final assessment. Practice and review.
Definition: Mistakes happen. Knowing them helps you avoid them.
Why it is important: A small mistake in automation can cause big problems.
Simple explanation: Imagine setting an alarm for the wrong time. You might miss something important.
Real-life example: A bank automates a report with the wrong formula.
School example: A teacher automates grades with the wrong formula.
Home example: A family automates a budget with wrong numbers.
Nigerian example: A trader automates profit with the wrong formula.
Table of common mistakes:
| Mistake | What Happens | How to Fix |
|---|---|---|
| Wrong formula | Wrong results | Check formulas |
| Wrong cell reference | Wrong data | Check references |
| Not testing | Errors appear | Test before using |
| Forgetting to save | Lose work | Save often |
| Not making a backup | Cannot undo | Backup first |
| Too complex | Hard to fix | Keep it simple |
Mini summary: Common mistakes include wrong formulas and forgetting to test. Always check your work.
Definition: Best practices are good habits that make automation safe and easy.
Why it is important: Good habits save time and prevent mistakes.
Simple explanation: Like washing your hands before cooking.
Real-life example: A chef keeping the kitchen clean.
School example: A student keeping their notebook neat.
Home example: A family keeping the house tidy.
Nigerian example: A trader keeping the stall clean and organised.
List of best practices:
Mini summary: Best practices: backup, keep simple, test, document, save often.
Let’s build a complete business solution.
Step 1: Create a sales data sheet.
Step 2: Clean the data with Copilot.
Step 3: Analyse the data with Copilot.
Step 4: Create charts with Copilot.
Step 5: Build a dashboard with Copilot.
Step 6: Set up automated monthly reports.
Step 7: Connect with PowerPoint for presentations.
Step 8: Save as “My_Business_Solution”.
Illustration:
Raw Data
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Clean Data
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Analyse Data
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Create Charts
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Build Dashboard
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Automate Reports
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Connect to Apps
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Complete Business Solution 🎉
Mini summary: A complete business solution combines cleaning, analysis, charts, dashboards, and automation.
Let’s build a real-world sales tracker.
Step 1: Create a sheet called “Sales”.
Step 2: Add columns: Date, Product, Quantity, Price, Total.
Step 3: Use Copilot to create the Total formula.
Step 4: Add a PivotTable of sales by product.
Step 5: Create a bar chart of sales by product.
Step 6: Create a line chart of monthly sales.
Step 7: Build a dashboard with key numbers.
Step 8: Save as “My_Sales_Tracker”.
Illustration:
+----------------------------------------+ | SALES TRACKER | | Total: ₦250k | Best: Phone Cases | | [Bar Chart] | [Line Chart] | | [PivotTable] | [Dashboard] | +----------------------------------------+
Mini summary: A sales tracker combines data, formulas, charts, and a dashboard.
Let’s build a real-world budget planner.
Step 1: Create a sheet called “Budget”.
Step 2: Add columns: Category, Planned, Actual, Difference.
Step 3: Use Copilot to create the Difference formula.
Step 4: Create a pie chart of spending shares.
Step 5: Create a bar chart of planned vs actual.
Step 6: Add conditional formatting to highlight overspending.
Step 7: Build a dashboard with key numbers.
Step 8: Save as “My_Budget_Planner”.
Illustration:
+----------------------------------------+ | BUDGET PLANNER | | Total Planned: ₦50,000 | | Total Actual: ₦45,000 | | Difference: ₦5,000 | | [Pie Chart] | [Bar Chart] | +----------------------------------------+
Mini summary: A budget planner tracks income and expenses with charts and a dashboard.
You have learned a lot! Let’s review your journey.
Module 1: You learned what Copilot is.
Module 2: You learned formulas.
Module 3: You learned to clean data.
Module 4: You learned to analyse data.
Module 5: You learned to create charts.
Module 6: You learned automation and real-world projects.
Next steps:
Illustration:
Module 1 → Module 2 → Module 3 → Module 4 → Module 5 → Module 6
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Copilot Formulas Cleaning Analysis Charts Automation
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Excel Expert 🎉
Mini summary: You have completed the course. Keep practising and you will become an Excel expert.
| Word | Simple Definition |
|---|---|
| Automation | Making tasks happen automatically. |
| Macro | A recorded set of steps. |
| Template | A ready-made sheet you can reuse. |
| Dashboard | A page showing key numbers and charts. |
| Automated report | A report that updates itself. |
| Data entry | Typing data into Excel. |
| Integration | Connecting Excel with other apps. |
| Real-world project | A project that solves a real problem. |
| Backup | A copy of your data for safety. |
| Documentation | Writing down what you did. |
| Testing | Checking if something works. |
| Assessment | A test of what you learned. |
| Formula | A calculation in Excel. |
| Reference | A cell address like A1 or B2. |
| Refresh | Updating data or a report. |
Set Up Once
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Add New Data
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Formulas Update
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Charts Update
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Report Updates
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Save Time 🎉
Record:
1. Clean data
2. Create chart
3. Add total
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Play:
All steps happen automatically!
+----------------------------------------+ | MY DASHBOARD | | +--------+ +--------+ +--------+ | | | Total | | Best | | Average| | | +--------+ +--------+ +--------+ | | +------------------+ +------------+ | | | Bar Chart | | Pie Chart | | | +------------------+ +------------+ | +----------------------------------------+
Problem
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Plan
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Build
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Test
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Share
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Solve Problem 🎉
Module One: Getting Ready with Copilot
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Module Two: Writing Formulas with Copilot
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Module Three: Cleaning and Organising Data
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Module Four: Analysing Data with Copilot
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Module Five: Charts and Visuals with Copilot
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Module Six: Automation and Real-World Projects
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Copilot in Excel Expert 🎉
| Feature | Manual | Automated |
|---|---|---|
| Time | Long | Short |
| Mistakes | More | Fewer |
| Repeatable | No | Yes |
| Effort | High | Low |
| Feature | Macro | Formula |
|---|---|---|
| What it does | Records steps | Calculates values |
| Trigger | Button or shortcut | Automatic |
| Best for | Repeated actions | Calculations |
| Feature | Dashboard | Report |
|---|---|---|
| Visual | Yes | Sometimes |
| Interactive | Yes | No |
| Best for | Overview | Details |
| Feature | Backup | No Backup |
|---|---|---|
| Safety | High | Low |
| Recovery | Easy | Hard |
| Best practice | Always | Never |
Lesson 1: Automation makes tasks happen automatically.
Lesson 2: Copilot helps automate reports and tasks.
Lesson 3: Macros record and replay steps.
Lesson 4: A business dashboard shows key numbers and charts.
Lesson 5: Automated reports update when data changes.
Lesson 6: Copilot speeds up data entry.
Lesson 7: Excel connects with other Microsoft apps.
Lesson 8: Real-world projects solve real problems.
Lesson 9: Prepare for the final assessment.
Lesson 10: Common mistakes include wrong formulas.
Lesson 11: Best practices: backup, keep simple, test.
Lesson 12: Build a complete business solution.
Lesson 13: Build a real-world sales tracker.
Lesson 14: Build a real-world budget planner.
Lesson 15: Review your Excel expert journey.
Congratulations! You have finished Module Six and the entire Copilot in Microsoft Excel – Level Two course. You learned what automation means. You learned how to automate tasks with Copilot, use macros, build business dashboards, create automated reports, use Copilot for data entry, connect Excel with other apps, and complete real-world projects. You built a sales tracker and a budget planner. You prepared for the final assessment. You now know common mistakes and best practices. Most importantly, you can use Copilot to automate tasks and build real-world solutions. Keep practising, and you will become a true Excel expert!
Match the term to its meaning.
| Term | Meaning |
|---|---|
| 1. Automation | A. A recorded set of steps |
| 2. Macro | B. Making tasks happen automatically |
| 3. Dashboard | C. A page with key numbers and charts |
| 4. Integration | D. Connecting Excel with other apps |
| 5. Backup | E. A copy of your data for safety |
Answers: 1-B, 2-A, 3-C, 4-D, 5-E
Title: “Build a Complete Business Solution Together”
Instructions: In groups of 3–4, create a complete business solution in Excel. Use Copilot to clean data, analyse data, create charts, build a dashboard, and set up automation. One person types, one person asks Copilot, one person customises, and one person presents. Share your solution with the class.
Goal: Practice building a complete business solution with Copilot.
Task: Create a small Excel sheet with ten rows of data (e.g., sales, expenses). Use Copilot to:
Hint: Start with a clean table with headings.
Project: “My Automated Sales Report”
Create an Excel sheet with sales data (at least 20 rows). Use Copilot to:
Example output:
+----------------------------------------+ | AUTOMATED SALES REPORT | | Total: ₦250k | Best: Phone Cases | | [Bar Chart] | [Line Chart] | | [Pie Chart] | [Dashboard] | +----------------------------------------+
Assignment: Create a new Excel workbook called Automation_Project. In the workbook, do the following:
Submit: Your workbook file and screenshots of your dashboard and automation.
Congratulations! You have completed the entire Copilot in Microsoft Excel – Level Two course. Here are some next steps you can take:
Remember, this is just the beginning. You are now a Copilot in Excel expert. Keep practising and keep learning!
End of Module Six – Copilot in Microsoft Excel – Level Two
🎉 Congratulations! You have completed the entire course! 🎉