Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,450 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

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.

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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1926 - 1950 of 3,081 Reviews for Data Analysis with Python

By Gautham N

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Dec 25, 2019

Good course

By Amna I

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Dec 18, 2019

learnt alot

By Mani T P

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Dec 1, 2019

Best course

By shivank k

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Nov 23, 2019

nice course

By Pulkeshin s

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Nov 20, 2019

Nice Course

By Tanmay T

•

Nov 20, 2019

Good Course

By Hua S

•

Nov 2, 2019

Very great!

By Naveen S

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Sep 23, 2019

very nice..

By Soumyadipta D

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Jul 23, 2019

nice course

By Ganesh P

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Apr 3, 2019

good course

By Mahesh A

•

Jan 6, 2019

Good Course

By Pankaj K

•

Jan 4, 2019

best course

By Zheng Z

•

Aug 19, 2018

Very useful

By Charles W

•

Jun 24, 2018

Good course

By Stephen M

•

Nov 12, 2025

a nice one

By EDWIN G P

•

Oct 26, 2025

ME ENCANTO

By Alejandro D

•

Sep 5, 2025

Muy bueno!

By alvaro-mu-sic@hotmail.com

•

Aug 5, 2025

Excelente!

By JUAN D B M

•

Jun 15, 2025

Buen curso

By balaprasad k

•

Nov 3, 2024

enjoyed it

By YASH P

•

Jul 16, 2023

amazing...

By Natalia B

•

Jun 11, 2023

Excellent!

By Mohammadreza S

•

Feb 21, 2023

Wonderful!

By Onedio S S J

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Aug 1, 2022

Excellent!

By Kristine K

•

May 24, 2022

Deep dive.