Chevron Left
Back to Excel Basics for Data Analysis

Learner Reviews & Feedback for Excel Basics for Data Analysis by IBM

4.7
stars
10,772 ratings

About the 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!...

Top reviews

AE

Jul 30, 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Many of the commands explained in the videos or on the exercises are outdated, especially in the pivots section.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.

NS

Nov 15, 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.

Filter by:

1701 - 1725 of 2,184 Reviews for Excel Basics for Data Analysis

By Jesus O G Q

•

Jul 1, 2025

ok

By Gustavo P

•

May 23, 2025

ok

By Diana E M

•

Oct 1, 2024

ok

By John O

•

Mar 12, 2023

HI

By JAVIER M A B

•

Nov 15, 2022

ok

By Jaka P

•

Nov 14, 2022

ok

By ashveen k a

•

Jul 4, 2022

..

By Rohit S

•

Apr 12, 2022

no

By Rúben D M S

•

Nov 21, 2021

w

By Amenesh A M

•

Apr 5, 2025

.

By Ibrahim A S

•

Dec 14, 2024

H

By Abdullah - S

•

Aug 24, 2023

o

By Anita S

•

Aug 23, 2023

By Thomas P

•

Jun 23, 2023

✕

By Archana R

•

May 11, 2023

5

By Suleman M A

•

Jan 12, 2023

n

By JORGE V N A

•

Nov 6, 2022

.

By Tareq A

•

Sep 28, 2022

m

By Theerthesha

•

Aug 27, 2022

C

By vanam c b

•

Jun 7, 2022

.

By Taher E

•

Mar 9, 2022

By ghaith a

•

Nov 9, 2021

♥

By Evelyn S

•

Aug 28, 2021

.

By Kenny D

•

Jun 16, 2021

By Jill F

•

Mar 4, 2023

I'm an experienced Excel user, but this course introduced me to some new tricks, such as the use of Flash Fill and the SUMIF function that will be helpful. If you're relatively new to Excel, you should find this course very satisfying.

A few things such as VLOOKUP are touched on too briefly. The pivot table segment is a good intro, but more detail is needed to explain WHY you might want to construct your table in a particular way. Complementary reference materials would be helpful.

The course is oriented toward data analysis in the business sector. Wish there was more consideration of Excel use in research contexts.

The lab activities allow you to try out the features covered in the course, and help familiarize you with concepts, but more depth would be needed to develop proficiency.

I'd love to see this course provide examples of how to document the "data cleaning and wrangling" steps in Excel. This seems like an important omission to address.

The assignments and grading process are straightforward and relatively easy to complete. It would be great to offer optional assignments for folks like me who are eager for more advanced exercises.