Excel Basics for Data Analysis
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Excel Basics for Data Analysis
This course is part of multiple programs.
Instructor: Sandip Saha Joy
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What you'll learn
Display working knowledge of Excel for Data Analysis.
Perform basic spreadsheet tasks including navigation, data entry, and using formulas.
Employ data quality techniques to import and clean data in Excel.
Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.
Skills you'll gain
Tools you'll learn
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- Earn a shareable career certificate
There are 5 modules in this course
Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.
This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!
In this module, you will learn about the fundamentals of spreadsheet applications, and you will be introduced to the Excel interface and learn how to navigate your way around a worksheet and workbook.
What's included
5 videos4 readings2 assignments
5 videos•Total 26 minutes
- Course Introduction•3 minutes
- Introduction to Spreadsheets•5 minutes
- Spreadsheet Basics - Part 1•6 minutes
- Spreadsheet Basics - Part 2•7 minutes
- Viewpoints: Using Spreadsheets as a Data Analysis Tool•5 minutes
4 readings•Total 70 minutes
- Excel Keyboard Shortcuts•10 minutes
- Hands-on Lab 1: Getting Started with Excel Online•30 minutes
- Hands-on Lab 2: Spreadsheet Basics•20 minutes
- Summary and Highlights•10 minutes
2 assignments•Total 40 minutes
- Practice Quiz •10 minutes
- Graded Quiz•30 minutes
In this module you will learn how to perform basic spreadsheet tasks, such as viewing, entering and editing data, and moving, copying and filling data. In addition, you will learn about the fundamentals of formulas, and learn about the most common functions used by a data analyst. Finally, you will learn how to reference data in formulas.
What's included
5 videos4 readings2 assignments
5 videos•Total 35 minutes
- Viewing, Entering, and Editing Data•6 minutes
- Copying, Filling, and Formatting Cells and Data•8 minutes
- The Basics of Formulas•7 minutes
- Intro to Functions•5 minutes
- Referencing Data in Formulas•9 minutes
4 readings•Total 51 minutes
- Sample datasets used in the video•10 minutes
- Hands-on Lab 3: Entering and Formatting Data•1 minute
- Hands-on Lab 4: Simple Use of Functions•30 minutes
- Summary and Highlights•10 minutes
2 assignments•Total 33 minutes
- Practice Quiz •12 minutes
- Graded Quiz•21 minutes
In this module, you will learn about the importance of data quality, and you will learn how to import file data in to Excel. You will also learn about the fundamentals of data privacy. In addition, you will learn how to remove duplicate and inaccurate data, and how to remove empty rows in your data. Finally, you will learn how to deal with inconsistencies in your data and how to use the Flash Fill and Text to Columns features to help you manipulate and standardize your data.
What's included
8 videos4 readings4 assignments
8 videos•Total 48 minutes
- Introduction to Data Quality•4 minutes
- Importing File Data•6 minutes
- Basics of Data Privacy•6 minutes
- Viewpoints: Data Quality and Privacy•5 minutes
- Removing Duplicated or Inaccurate Data and Empty Rows•9 minutes
- Dealing with Inconsistencies in Data•9 minutes
- More Excel Features for Cleaning Data•6 minutes
- Viewpoints: Issues with Data Quality•4 minutes
4 readings•Total 75 minutes
- Summary and Highlights•10 minutes
- Disclaimer: About Flash Fill features covered in the next "More Excel Features for Cleaning Data" video•10 minutes
- Hands-on Lab 5: Cleaning Data•45 minutes
- Summary and Highlights•10 minutes
4 assignments•Total 52 minutes
- Practice Quiz •10 minutes
- Practice Quiz•12 minutes
- Graded Quiz•9 minutes
- Graded Quiz•21 minutes
In this module, you will learn about the fundamentals of analyzing data using a spreadsheet, and learn how to filter and sort data. You will also learn how to use some of the most useful functions for a data analyst, and how to use the VLOOKUP and HLOOKUP reference functions. In addition, you will learn how to create pivot tables in Excel, and use several pivot table features.
What's included
8 videos6 readings4 assignments
8 videos•Total 57 minutes
- Intro to Analyzing Data Using Spreadsheets•6 minutes
- Filtering and Sorting Data in Excel•7 minutes
- Viewpoints: Filtering and Sorting•2 minutes
- Useful Functions for Data Analysis•11 minutes
- Using the VLOOKUP and HLOOKUP Functions•10 minutes
- Introduction to Creating Pivot Tables in Excel•8 minutes
- Viewpoints: Pivot Tables•3 minutes
- Pivot Table Features•10 minutes
6 readings•Total 105 minutes
- Sample datasets used in the video•10 minutes
- Reading: Advanced Excel Formulas: COUNTIFS, SUMIFS, and XLOOKUP•15 minutes
- Hands-on Lab 6: Filtering and Sorting Data•30 minutes
- Summary and Highlights•10 minutes
- Hands-on Lab 7: Using Pivot Tables•30 minutes
- Summary and Highlights•10 minutes
4 assignments•Total 50 minutes
- Practice Quiz•10 minutes
- Practice Quiz•10 minutes
- Graded Quiz•15 minutes
- Graded Quiz•15 minutes
Great! You’ve now completed all four modules of this course. In this final module, you’ll apply what you’ve learned in a hands-on lab and complete a graded assignment focused on cleaning, preparing, and analyzing data in Excel. This final assignment will be graded using AI.
What's included
6 readings1 app item
6 readings•Total 73 minutes
- Final Assignment Overview•6 minutes
- Final Project Submission Guidelines and Deliverables•6 minutes
- Final Assignment - Part 1: Clean and Prepare the Data•45 minutes
- Final Assignment - Part 2: Analyze the Data•10 minutes
- Congratulations and Next Steps•5 minutes
- Course Credits and Acknowledgements•1 minute
1 app item•Total 60 minutes
- AI Graded: Final Project - Submission and Evaluation•60 minutes
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Reviewed on Jul 29, 2025
Many of the commands explained in the videos or on the exercises are outdated, especially in the pivots section. I struggled to find its equivalent in Excel 365. Please update whatever is needed.
Reviewed on Nov 14, 2024
the beginner level helps to improve my skill with excel, it helps a lot in my study and my career and used to be excel is a hard tool to use, now it's fun tool to use, thank you IBM - Coursera.
Reviewed on Jun 12, 2022
Great introduction of basic excel concepts and how they can be used. The final project was simple and straight forward. I had some excel knowledge but this course taught be many more excel tools.
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