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

4.7
stars
5,182 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

IJ

Jan 8, 2022

it's amazing how the course was designed for beginner,. Modules were easy to follow and Labs were also very clear. I am very happy with the accomplishment but his is only the beginning of a new time.

FK

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!

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526 - 550 of 1,067 Reviews for Excel Basics for Data Analysis

By Muhammed R A

•

Aug 27, 2022

it gives an amazing isight to excel

By Trà T

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Sep 25, 2021

Very helpful, i learned many things

By Gayatri S

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Aug 16, 2021

Concepts were very well explained.

By Reyvlando R

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Jan 12, 2023

Thankfully I enrolling this course

By Devi P P

•

Dec 23, 2022

Very important learning every body

By Lorraine S

•

Jul 6, 2022

A very good and informative course

By anar b

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May 19, 2022

I am learning without big stress.

By Abdullah A M

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Apr 25, 2022

Very easy and well defined course!

By Carmem G

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Jan 24, 2022

Excellent, thanks for the content.

By Michael H

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Dec 13, 2021

It's good if you are new to excel.

By Mauro G

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Jun 10, 2021

Great course with useful contents.

By Priyadarshini S

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May 14, 2021

Very Easy to follow and Quite fun!

By Bekalu

•

Jan 11, 2023

This course is beyond the basics.

By RENATO E J

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Oct 19, 2022

Very organized and easy to learn

By Wesley S S

•

Sep 5, 2022

Informative and well made course!

By Ishmeal K

•

Aug 30, 2022

Easy to follow, very informative.

By OLUWATOBI A

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Aug 26, 2022

Amazing platform

Great experience!

By Prathamesh P

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May 16, 2022

Thank you so much for this course

By Shawal J

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Mar 6, 2021

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By BENAIAH U

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Sep 18, 2022

So relevant for my career path.

By Emmanuel I

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Jul 2, 2022

I love the labs and peer grading

By Sandra P F G

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Apr 7, 2022

muy práctico y fácil de entender

By Hyeyeon K

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Mar 29, 2022

It was so helpful! thanks a lot

By Rahul Y

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Jan 5, 2022

Nice Explanation & Understanding

By Madhuja S

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Nov 22, 2021

,This was a very helpful course.

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