Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,572 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

Apr 16, 2023

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

Nov 11, 2021

Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.

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2751 - 2775 of 3,106 Reviews for Data Analysis with Python

By Gogo p

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Jul 31, 2021

Nice course

By B N B

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Jun 6, 2020

GOOD COURSE

By Shubham M

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Feb 26, 2019

Good Course

By LOKESH K S

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Nov 2, 2023

its useful

By Shawn H

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Jun 22, 2023

Too simple

By Julien A

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Sep 26, 2022

Very Good

By SAURAV

•

Mar 10, 2022

goodcourse

By Sajeev R

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Jul 25, 2021

Lear Again

By Bhavesh J

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Jun 22, 2020

informaive

By Rimsha I

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Jul 15, 2025

Excellent

By NEERAJ G

•

Aug 20, 2024

very easy

By Vipin G

•

Mar 31, 2024

it's good

By Omer. K

•

Oct 11, 2021

excellent

By Daniel F V V

•

Aug 24, 2020

Good job

By Bayu T P

•

Aug 20, 2023

so good

By Isaac N

•

Dec 3, 2019

Thank's

By Veronica S

•

Apr 6, 2019

not bad

By Ezzeldin A H

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Jul 19, 2023

V.GOOD

By Germán G

•

Mar 17, 2022

so so

By Sakhumzi D

•

Sep 8, 2021

Decent

By KIRTAN K

•

Oct 13, 2022

good

By moh a

•

Sep 29, 2022

very

By Chirapat C

•

Nov 26, 2025

Good

By Asmita K

•

Jul 1, 2025

nice

By Dhruv R

•

Mar 24, 2025

Nice