Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,536 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 22, 2019

Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well

Jun 9, 2020

Great course to learn the basics for Data Analytics using Python.I really liked the framework and data analysis template or process given in the labs. I will use them as a reference for my real job!

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2126 - 2150 of 3,098 Reviews for Data Analysis with Python

By Arnab C

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Aug 15, 2019

best!

By Kathleen P

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Dec 31, 2018

Great

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 2

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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

By SUBHAM K

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Jun 22, 2025

good

By Hiếu N

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Apr 4, 2025

good

By Md H R

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Mar 25, 2025

best

By Geetha K

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Mar 18, 2025

good

By Niladri P

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Feb 27, 2025

Good

By Dhanyashree S

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Dec 8, 2024

Good

By 2899_Aryan M

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Dec 6, 2024

Nice

By Thaniyamirsa A

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Dec 6, 2024

Good

By Sridhar M

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Dec 4, 2024

Good

By 2298_MONALISHA P

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Nov 23, 2024

good

By Ravi S

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Nov 20, 2024

good