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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

RP

Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

VS

Jan 30, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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By Jimut B P

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Sep 22, 2018

nice

By nathan d

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Sep 18, 2025

top

By RIJEN J P S

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Jul 7, 2025

oke

By ORPILLA, J T B

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Jun 4, 2025

N/A

By Sofia S

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May 24, 2025

Yes

By Oyarinu O E

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Jun 1, 2024

Yes

By Sai S P

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Apr 11, 2022

hhj

By Usman R M

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Apr 27, 2019

top

By YANAMADALA P

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Apr 3, 2019

gud

By Dipali K

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Apr 14, 2025

na

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Mar 5, 2025

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By Rex S A

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Nov 29, 2022

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By Yacin A M

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Nov 16, 2022

hi

By SHREYANSH J

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Feb 3, 2022

gg

By Talha A

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Sep 16, 2019

<3

By JAIRO M R M

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Mar 23, 2025

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Oct 6, 2024

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Jul 1, 2024

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Nov 1, 2022

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Aug 7, 2021

By Ali C B

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Dec 20, 2020

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By Juan P

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Apr 7, 2019

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By Gaurav D

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Apr 3, 2019

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