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

4.8

stars

8,867 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

May 24, 2022

Wow, the practical (Hands on ) part is a boom! How did the course disigner/ instructor and the rest of the team involved manage to do that?

Also the review part....so well done and easy to follow!

Sep 26, 2022

Overall this was a refresher for me. I was able to reconnect with some of the Excel functions and can now apply those to my current job. The teachings and exercises I found useful and easy to follow.

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1676 - 1700 of 1,793 Reviews for Excel Basics for Data Analysis

By issa s

•

Mar 23, 2022

helpfull

By kaliprasad k

•

Jul 11, 2023

not bad

By Ziv A

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Aug 10, 2022

To Easy

By Kibet A

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Aug 4, 2022

perfect

By faiz u

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May 6, 2022

awesome

By Mahmoud A

•

Apr 6, 2023

Thanks

By Sajal J

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Oct 29, 2022

good

By Pratik V

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Oct 1, 2022

great

By SALMAOUI Y

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Jul 3, 2022

GOOD

By Nwaorgu U Q

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Mar 14, 2022

Great

By Zubair k

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Jul 6, 2021

great

By GAJERA V B

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Sep 30, 2024

Good

By Anandharaju V

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May 10, 2024

good

By Mo S 1

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Mar 13, 2024

good

By vinitha b

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Feb 11, 2024

good

By RAHUL K

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Oct 4, 2023

good

By mahmoud m

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Jun 15, 2023

good

By Hasan N

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May 22, 2023

Good

By Giorgio

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Dec 5, 2022

good

By Michael E

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Nov 11, 2022

good

By SHUBHAM N

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Feb 25, 2022

nice

By Vijaya M

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Jul 3, 2021

Good

By KING H

•

Mar 21, 2021

good

By Yazid S B S

•

Oct 30, 2021

85%

By Kenneth N

•

Oct 21, 2024

The Instructions were really good. As an experienced excel user, they explained the most useful info in a fast and informative way. The Graded quizzes were bad though. Asked questions for things that got explained in the next part or asked in a way that wasn't clear what was meant precisely. It was more a pain than actual knowledge control And even the final Assignment. You had to write yes, got the pasting warning the whole time and then couldn't even submit it twice because the answer was not long enough.. Additionally the peer review solution showed a screenshot that couldn't exist, because the prompt afterwards changed it. In Addition to giving info that changed later as well (deleting rows + deleting duplicates later)