Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,590 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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1776 - 1800 of 3,108 Reviews for Data Analysis with Python

By BYRON V E E

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Jan 16, 2020

Excelente curso

By Nicholas C

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Nov 6, 2019

Amazing Course!

By Manpreet S

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May 14, 2019

IT WAS AWESOME.

By 18086105521

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Apr 21, 2019

Perfect course!

By Jose

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Jun 16, 2025

Muy buen curso

By Prasanna V

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May 15, 2025

Great Learning

By MD Z S

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Jan 2, 2025

Well explained

By Pannala s s k r

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Sep 22, 2024

very effective

By Kumar D

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Sep 21, 2024

Amazing course

By Sudha R

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Jan 17, 2024

great learning

By qhaicha s

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Dec 26, 2023

very complete.

By HAYTAM A

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May 11, 2023

GOOD THANK YOU

By Islam E

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Mar 12, 2023

thanks so much

By Nikita C

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Nov 15, 2022

great learning

By Nnadozie O

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Sep 27, 2022

WORTH MY TIME

By Xuan L

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Aug 1, 2022

Nice and easy!

By raju K

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Apr 23, 2022

very uses full

By osmantamer

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May 24, 2021

Nice and clean

By Aditya k

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Sep 16, 2020

A good course.

By CHALLA K S N M S

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Sep 9, 2020

awesome course

By fernandes m

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Aug 30, 2020

Very practice.

By Ifenaike A O

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Jun 4, 2020

awesome course

By Ritik K

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May 27, 2020

Amazing Course

By A S R

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May 17, 2020

Awesome course

By Subhadip M

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Apr 2, 2020

Great Course !