MS Excel is a powerful tool especially for Data Analytics, it has features like functions, pivot tables, and data visualisation tools. MS Excel is one of the most widely used and available tool for Data Analytics as it is easy to learn especially for beginners.With MS Excel you can perform calculations, create charts, organise data etc...
This article is going to explain and look at the ways we can use MS Excel for Data Analytics in a simple and beginner friendly way.
Exploring MS Excel
The top toolbar with tabs like Home, Insert and Data. Each tab contains tools, such as formatting options or chart creation.
In Excel, data is stored in worksheets, which are made up of:
Columns which are horizontal.
Rows which are vertical
Cells which are where a row and a column meet.
Each column usually has information like name, age, phone number, and each represents a record ie: one person, one product.
Entering and Formatting Data
MS Excel supports numbers, text, percentages, date, so you can type these types of data into excel.
You can format your data in MS Excel making it Bold, italic, use colours for emphasis, adjust the column width, apply borders and when you format the data it improves its readability it doesn't change it.
Core Excel Features
Excel offers tools to manage data effectively:
Data Organization: Store text, numbers or dates in cells. For example, list project deadlines in column A and statuses in column B.
Calculations: Use formulas like SUM to add numbers or A1-A2 to subtract.
Formatting: Enhance readability with fonts, colors or cell borders.
Charts: Create visuals like bar or pie charts to summarize data.
File Management: Save files as .xlsx and share them easily.
Using Basic Formulas and Functions
Formulas are used to perform calculations in Excel and All formulas start with an equal sign (=).
Common formulas include:
SUM which adds values
AVERAGE and this calculates the mean
COUNT which counts cells with numbers
MIN / MAX which finds smallest or largest value.
Analysing Data with Charts
When using charts it is to help visualise data and this in return makes patterns and trends easier to understand.
Common chart types include column charts, bar charts, line charts and pie charts
Using Tables for Simple Analysis
Excel tables make data easier to manage and analyse. Benefits of using tables include automatic filtering, easy formatting and structured references which can all be accessed by using a table.
In order to create a table one should:
Select your data
Click Insert → Table
Basic Data Summarisation with PivotTables
PivotTables allow you to quickly summarise large amounts of data without complex formulas.
Some of the things that can be done by using PivotTables are calculating total, grouping data by category, and comparing values.
MS Excel is a powerful yet beginner‑friendly tool for data analytics and with basic skills such as data entry, sorting, filtering, formulas, charts, and PivotTables, any beginner can already perform meaningful data analysis. As one becomes more comfortable with Excel, they can gradually move on to more advanced features.
Excel is an excellent starting point for anyone interested in data analytics.
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