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Avis et commentaires pour d'étudiants pour Excel Basics for Data Analysis par Réseau de compétences IBM

4,937 évaluations

À propos du cours

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!...

Meilleurs avis


8 janv. 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.


24 mai 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 well done and easy to follow!

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476 - 500 sur 996 Avis pour Excel Basics for Data Analysis

par Iftikhar A

30 août 2022

Recomended to all beginners . Love it.

par LIM J Y A

8 juil. 2022

Helped me greatly to refresh my skills


27 avr. 2022

easy to understand .thanks for the IBM

par Muhammad N

18 janv. 2022

This course helped me a lot. Thank you

par Priya D

31 déc. 2022


very crisp and short but good

par Damith M C

9 oct. 2022

Great content with mannerly ordered.

par Tejaswi P

31 juil. 2022

Gets hand-on Excel and Its features .

par Mattia R

24 mai 2022


par Marthinus H V D W

20 janv. 2022

What an awesome course. Thanks a lot.

par oscar t

16 nov. 2021

Well structured and easy instructions

par Eber S C

12 sept. 2022

This is an excellent course.Thanks.

par Jorge A

22 juin 2022


par Pushpa R K

19 sept. 2022

Great content. Absolutely Loved it

par Abdulrasheed K A

14 sept. 2022

Thank you for this awesome course.

par Nand K P

13 sept. 2022

very basic knowladge one can learn

par Robin K

11 sept. 2022

I am happy to complete this course

par Muhammed R A

27 août 2022

it gives an amazing isight to excel

par Trà T

25 sept. 2021

Very helpful, i learned many things

par Gayatri S

16 août 2021

Concepts were very well explained.

par Reyvlando R

12 janv. 2023

Thankfully I enrolling this course

par Devi P P

23 déc. 2022

Very important learning every body

par Lorraine S

6 juil. 2022

A very good and informative course

par anar b

19 mai 2022

I am learning without big stress.

par Abdullah A M

25 avr. 2022

Very easy and well defined course!

par Carmem G

24 janv. 2022

Excellent, thanks for the content.