Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,594 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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2126 - 2150 of 3,112 Reviews for Data Analysis with Python

By KIM T

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Feb 16, 2021

Great

By CS M L

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Jan 26, 2021

great

By Shreya M

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Oct 13, 2020

Great

By Rafiul A

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Aug 4, 2020

Great

By Pankaj S

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Jun 24, 2020

great

By Fernando P

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May 13, 2020

Nice!

By saiganesh g

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May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

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Jan 18, 2020

goood

By Diego B

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Dec 18, 2019

great

By Arnab C

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Aug 15, 2019

best!

By Kathleen P

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Dec 31, 2018

Great

By VIKASH K D

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Jan 31, 2026

Good

By BHUMIKA H S

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Dec 15, 2025

good

By สิริภัสสร์ ป I

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Nov 21, 2025

well

By Akash G

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Nov 10, 2025

Good

By Gunawan

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Oct 30, 2025

good

By Nandhini .

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Aug 29, 2025

good

By Vaidehi P

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Aug 24, 2025

good

By Mahesh

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Aug 3, 2025

good

By Sharvari M

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Jul 25, 2025

Good

By M.atchaya

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Jul 23, 2025

Good

By Reema A

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Jul 23, 2025

good

By VISHNU.P

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Jul 21, 2025

good

By Abubakar A

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Jul 10, 2025

good