Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,378 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

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2026 - 2050 of 3,064 Reviews for Data Analysis with Python

By Leandro L S A

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May 2, 2022

Perfect.

By Cesar Q

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Jan 15, 2022

Awesome!

By Isaac N

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Jul 26, 2021

Awesome!

By BHUVANENDRAN B

•

Jul 2, 2020

Awesome!

By Daniel R

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May 20, 2020

perfect!

By lixulun

•

May 6, 2020

课程节奏太棒了！

By Nicolás E R O

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Feb 7, 2020

Great :D

By lanwo a

•

Dec 22, 2019

great!!1

By Roberto M

•

Dec 9, 2019

awesome!

By Josemar T M

•

Aug 23, 2019

Completo

By Appala N

•

Jun 15, 2019

good one

By Shashank R

•

Apr 6, 2019

Amazing!

By Ivan I

•

Mar 26, 2019

Awesome.

By Deleted A

•

Mar 21, 2019

Good one

By BISESWAR S

•

Sep 27, 2025

Awesome

By HUSEYN I

•

Aug 1, 2025

Awesome

By Siham

•

Nov 15, 2024

amazing

By Rustam S

•

Jul 12, 2024

Amazing

By Nho C D

•

Apr 9, 2024

usefull

By ADEEBA R 2

•

Jul 7, 2023

Perfect

By Sirojiddin D

•

Apr 2, 2022

awesome

By Raghavendra S K

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Sep 13, 2021

amazing

By yuebin l

•

Feb 20, 2021

amazing

By Esteban O

•

Oct 24, 2020

Usefull

By Harsha G

•

May 7, 2020

AWESOME