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

4.7
étoiles
2,962 évaluations
543 avis

À propos du cours

This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet. Excel is an essential tool for working with data - whether for business, marketing, data analytics, or research. This course is suitable for those aspiring to take up Data Analysis or Data Science as a profession, as well as those who just want to use Excel for data analysis in their own domains. You will gain valuable experience in cleansing and wrangling data using functions and then analyze your data using techniques like filtering, sorting and creating pivot tables. This course starts with an introduction to spreadsheets like Microsoft Excel and Google Sheets and loading data from multiple formats. With this introduction you will then learn to perform some basic level data wrangling and cleansing tasks and continue to expand your knowledge of analyzing data through the use of filtering, sorting, and using pivot tables within the spreadsheet. By performing these tasks throughout the course, it will give you an understanding of how spreadsheets can be used as a data analysis tool and understand its limitations. There is a strong focus on practice and applied learning in this course. With each lab, you will gain hands-on experience in manipulating data and begin to understand the important role of spreadsheets. Clean and analyze your data faster by understanding functions in the formatting of data. You will then convert your data to a pivot table and learn its features to make your data organized and readable. The final project enables you to show off your newly acquired data analysis skills. By the end of this course you will have worked with several data sets and spreadsheets and demonstrated the basics of cleaning and analyzing data all without having to learn any code. Getting started with Excel is made easy in this course. It does not require any prior experience with spreadsheets or coding. Nor does it require downloads or installation of any software. All you need is a device with a modern web browser, and ability to create a Microsoft account to access Excel online at no-cost. However if you already have a desktop version of Excel, you can follow along quite easily as well....

Meilleurs avis

IJ

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.

TH

23 déc. 2021

Great course, even for those people that are using Excel every day, this course shows quite a few different ways to improve your abilities to present the data and best practices for cleaning dat.

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201 - 225 sur 581 Avis pour Excel Basics for Data Analysis

par Lin Y Y W

23 mai 2022

Easy to understand and all the lecturers gives a lot of information that I need to pass the course

par Tanveer A

17 mars 2022

It was fun learning this course and it changed my perspective of using excel having abstract data.

par Maria P R

9 oct. 2021

I am happy for enrolled this course and this course so usefull to manage data in excel. thank you

par Hejun C

4 mai 2021

pretty clear content! The practice is too easy. Can add more gif in hands-on lab to help students

par Ajith B

29 avr. 2021

Really a fantastic course.. learnt new skills such as pivot tables, data preparation and analysis

par Ricardo O

16 févr. 2022

Mais um curso que atende minhas expectativas e continua manter o padrão do Coursera. Recomendo

par Bryan B M

10 janv. 2022

Great course to understand the basic of Excel, and how to incorporate it when analyzing data.

par Haris I

30 mai 2021

IT WAS FANTASTIC EXPERIENCE IN COURSERA I JUST LOVE IT I HAVE LEARNED ALOT OF THINGS FROM IT.

par Tùng T L

8 juin 2021

The course provides necessary knowledge to work with excel for analysis in fundamental maner

par Amr H A A

27 oct. 2021

The course's full of myriad amounts of knowledge. I totally convey this idea forthrightly!

par Chitralekha S

4 oct. 2021

It was easy to understand and the way assignments are conducted helps to clear the doubts.

par Martin A L H

22 mars 2021

INTERESANTE, EXCELENCIA Y REFUERZO PARA APRENDER Y HACER ANALISIS DE DATOS GRACIAS SALUDOS

par Poojitha P

19 mars 2022

This course helped me to learn all the excel features and gave me a practical knowledge

par Claire M

27 avr. 2021

Excellent introduction to cleaning and analysing data on Excel. I have learned a lot.

par susanthika r

14 juil. 2021

it was quick but very usefull. I'm looking forward for the net step... and so excited

par Rhonda M A

10 nov. 2021

Excellent course. Presented in a manner that made the basics of Excel easy to learn1

par My P

28 sept. 2021

I'm truly grateful for what I learn from this course. Many thanks to the instructor!

par Connie C

30 juin 2021

This is a very good course. I've started using the skills I learnt in my daily task.

par ARNOLD C N

6 févr. 2022

This is an insightful, well organized and hands on skills course in Data Analytics

par mostafaa_abdellah@yahoo.com

4 juin 2021

Structured Approached course, easily understood, in depth info and guided practice

par Phước T P

26 nov. 2021

This coursera helped me understand and operation with data via Excel application.

par Shubham B

24 juin 2021

easy to understand. Lucid explanation both in hands-on sheets and video tutorials

par Anil S

21 mai 2022

Additional feature learnt during this course. Also the practice example helped.

par Faiz N H

27 janv. 2022

My opinion this course is usefully and worth it become prepare to data analysis

par Babatunde O

9 janv. 2022

I gave the course 5 star. Good training materials and sequencing of the topics.