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

4.7

stars

10,380 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

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.

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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101 - 125 of 2,091 Reviews for Excel Basics for Data Analysis

By Heather L

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Feb 4, 2021

Good basic introduction.

By James F

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Mar 14, 2021

well structured...nice

By Marius S

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Nov 2, 2020

I got a good overview.

By CHRISTOPHER H

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Jan 31, 2021

Nice Excel Basics !!!

By Olayinka C

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Dec 21, 2020

Wow! I learned alot!

By Zaheer A S A

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Nov 2, 2020

Great skill to learn

By Mack J

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Feb 10, 2021

outstanding course

By THAN H

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Dec 15, 2020

Nice teaching ...

By Arun K

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Jan 14, 2021

Excellent course

By Nattamon S

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Feb 8, 2021

Very Helpful

By Darrell P

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Mar 5, 2021

Good Course

By Koumba K

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Jan 17, 2021

It was nice

By Niroshan G

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Mar 4, 2021

Very Good!

By Pentti L

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Oct 2, 2020

Very good.

By kasichana m

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Dec 30, 2020

Excellent

By Anderson J d S

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Feb 19, 2021

Excelent

By Paul-Alexandre M

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Feb 17, 2021

Great!

By Paul A

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Feb 1, 2021

Good

By Vaishu G

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Jan 30, 2021

Can I get credit for the IBM courses I completed.

I scored 97% grade for Excel basics for Data Analytics and 89% grade in Introduction to Data Analytics but it is mentioned as a non-credit course.

I have paid the fees for the courses and I need credit to be mentioned for the interview.

By Ángel M

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Jan 12, 2021

Muy bueno aunque le he tenido que reportar un fallo en relación a cómo hacer un ejercicio (descripción incorrecta).

By Christian

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Dec 20, 2020

Starts off a little slow but some useful bits as the weeks progress.

By Victoria M

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Dec 10, 2020

Course could have gone into more in depth intricacies of Excel

By Hans A E

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Nov 8, 2020

Very good and well presented with assessments and assignments

By Suraj G (

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Nov 3, 2020

no focus on graph and visualisation

By John O

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Oct 28, 2020

Just what I wanted!