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

4.8

stars

10,304 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

Jun 15, 2022

Very content with skills I learnt. However, some sections are not well explained and it seemed like the instructor was just going through them. For instance when teaching about "Flash Fill".

Jul 23, 2023

As an aspiring data analyst, this course gave me more information about what I am currently doing and after finishing this course I have learned a lot and gave me more interest to learn more.

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By Rifki A

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Dec 22, 2023

nice

By Xiaoqian W

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Dec 5, 2023

good

By ayush k 2

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Nov 26, 2023

good

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Oct 11, 2023

Good

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Sep 26, 2023

good

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Sep 3, 2023

nice

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Aug 29, 2023

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Jul 22, 2023

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Jul 13, 2023

Good

By ADEEBA R 2

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Jul 7, 2023

best

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Jun 16, 2023

good

By Rimjhim R

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May 30, 2023

Good

By MIYUGIZA A

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May 29, 2023

NICE

By Riya P

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Apr 5, 2023

gooo

By Deus V

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Mar 29, 2023

nice

By Fua'd

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Mar 8, 2023

good

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Jan 3, 2023

GOOD

By SAHIL G

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Dec 20, 2022

Good

By Chandran S

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Dec 9, 2022

good

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Dec 8, 2022

good

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Aug 12, 2022

good

By Kanan R

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Aug 8, 2022

NICE

By Suong N

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Aug 3, 2022

good

By Tahir E

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Jul 24, 2022

best

By Teymurlu R

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May 31, 2022

good