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Introduction to MS Excel for Data Analytics

If you’re new to data, Microsoft Excel is the best place to start. You can download Microsoft office from Google and you will find excel there.

If you`re new to data, before you learn Power BI, SQL, Python, or Data Science you start with Excel. It’s simple, powerful, and used everywhere: in schools, businesses, NGOs, startups, and tech companies.

This guide explains how data works using Excel in a way that is friendly for complete beginners.

What Is Data?

Data is simply information.

Examples of data:

  • Names of students
  • Exam scores
  • Sales records
  • Monthly expenses
  • Attendance lists

When the above information is listed it holds simple to no meaning but when the information is organized, it becomes meaningful. Excel helps you to organize this data in a way that you will understand.

What Is Microsoft Excel?

Microsoft Excel is a spreadsheet application developed by Microsoft which is used to:

  • Store data
  • Organize data
  • Calculate values
  • Analyze information
  • Create charts and reports

Think of Excel as a digital notebook with calculation powers.

Understanding the Excel Workspace

When you open Excel, you’ll see several important parts.

Workbook

A workbook is the entire Excel file.

Excel startup screen showing a blank workbook

Worksheet

Inside a workbook are worksheets (tabs at the bottom).

Sheet tabs labeled Sheet1, Sheet2, Sheet3

Each worksheet holds data. You have have different or same data in each worksheet. You add a worksheet using the plus (+) Infront of the sheet.

Rows, Columns, and Cells

  • Rows → horizontal (1, 2, 3…)
  • Columns → vertical (A, B, C…)

Where a row and column meet is a cell.

Example:

  • A1
  • B3
  • C10

Excel grid highlighting rows, columns, and a selected cell

How Data Is Stored in Excel.

Data is stored in tables.

A good table has:

  • Clear headers
  • One idea per column
  • One record per row

Example Table

Student Name Subject Score
Amina Math 78
Brian English 65
Faith Science 82

Simple student results table in Excel

Types of Data in Excel

1. Text Data

Used for names and descriptions.

Examples:


John
Nairobi
Economics

2. Number Data

Used for calculations.

Examples:


450
78.5
12000

3. Date & Time Data

Used for tracking time-based records.

Examples:


25/01/2026
14:26

Cells formatted as date and time

Why Data Structure Matters

Bad structure leads to:

  • Errors
  • Wrong results
  • Confusion

Good structure allows:

  • Accurate calculations
  • Easy analysis
  • Clean reports

NB: Golden rule of data:

One column = one type of data

Basic Excel Skills Every Beginner Must Know

1. Entering Data

  • Click a cell
  • Type your data
  • Press Enter

Typed data into Excel cells

2. Saving Your Work

Always save your file.

Shortcut:


Ctrl + S

Use clear file names:


January Sales 2026.xlsx

3. Formatting Data

Formatting improves readability:

  • Bold headers
  • Adjust column width
  • Add borders
  • Apply number formats

Formatted table with bold headers and borders

For Student name and subject use text (for all columns that aren`t calculated)

For score and any data that you can calculate use numbers.

NB: Number formats change how numbers look without changing their actual value.

Common formats:

  1. General (default)
  2. Number (can show decimal places)
  3. Currency (shows a currency symbol)
  4. Accounting
  5. Percentage (%)
  6. Date
  7. Time

Steps:

  • Select the cells with numbers.
  • Home tab > Number group.
  • Use the dropdown to choose Number, Currency, Percentage, Short Date, etc.

Introduction to Excel Formulas

This is now the powerhouse of Excel.

What Is a Formula?

A formula tells Excel to calculate something.

Something key to note is that all formulas start with =

Common Beginner Formulas

SUM – Add Numbers

=SUM(c2:c4)
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SUM formula calculating total score

AVERAGE – Find the Mean

=AVERAGE(c2:c4)
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Average score calculation

MAX and MIN – Highest & Lowest Values

Max is the highest value in the dataset
Min is the lowest value in the dataset

=MAX(C2:C4)
=MIN(C2:C4)
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Highest and lowest score highlighted

Why Excel Is Important for Data Beginners

Excel helps you learn:

  • Data organization
  • Logical thinking
  • Accuracy
  • Problem solving

Once you understand Excel, moving to:

  • Power BI
  • SQL
  • Python
  • Data Analytics

becomes so much easier and understandable.

Common Beginner Mistakes

  • Mixing text and numbers in one column
  • Missing headers
  • Using merged cells in raw data
  • Not saving regularly
  • Clean data beats fancy formatting.

How to Practice Excel as a Beginner

Try these simple projects:

  • Personal budget tracker
  • Daily expenses list
  • Student marks sheet
  • Shop inventory list
  • Monthly sales report
Date Description Category Amount (KES)
01/01/2026 Transport to work Transport 200
02/01/2026 Lunch Food 350
03/01/2026 Internet bundle Utilities 500
04/01/2026 Groceries Food 1,200
05/01/2026 Movie night Entertainment 600

EXAMPLE: A Simple expense tracker created in Excel

Conclusion

Excel is not just for accountants or finance bros. It’s a foundational data skill used in almost every profession. If you’re new to data, start here, master the basics, and build confidently.

Happy learning

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