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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,550 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

LM

Mar 10, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

RS

Jan 29, 2023

I am learning so much from this course. Video lectures are very easy to understand and the labs are interactive.My heart full gratitude to all the team of Coursera for providing valuable course.

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2126 - 2150 of 3,102 Reviews for Data Analysis with Python

By Mauro M M R

Mar 23, 2020

great

By kuncoro a n

Jan 19, 2020

goood

By Diego B

Dec 18, 2019

great

By Arnab C

Aug 16, 2019

best!

By Kathleen P

Jan 1, 2019

Great

By BHUMIKA H S

Dec 15, 2025

good

By สิริภัสสร์ ป I

Nov 22, 2025

well

By Akash G

Nov 10, 2025

Good

By Gunawan

Oct 31, 2025

good

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Aug 29, 2025

good

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Aug 24, 2025

good

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Aug 3, 2025

good

By Sharvari M

Jul 26, 2025

Good

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Jul 23, 2025

Good

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Jul 23, 2025

good

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Jul 22, 2025

good

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Jul 11, 2025

good

By SUBHAM K

Jun 23, 2025

good

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Apr 5, 2025

good

By Md H R

Mar 26, 2025

best

By Geetha K

Mar 18, 2025

good

By Niladri P

Feb 27, 2025

Good

By Dhanyashree S

Dec 8, 2024

Good

By 2899_Aryan M

Dec 6, 2024

Nice

By Thaniyamirsa A

Dec 6, 2024

Good