Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,572 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

Apr 16, 2023

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

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.

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2076 - 2100 of 3,106 Reviews for Data Analysis with Python

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 24, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 9, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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Apr 17, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By CHIRAG A

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Nov 16, 2025

superb

By Abdo G

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Jul 7, 2025

thanks

By Pham T H

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Oct 7, 2024

Great!

By S A B A

•

Jul 27, 2024

ممتازه

By Martha B G R

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Mar 25, 2024

Great!

By ahmed y

•

Oct 23, 2023

thanks

By AHMED A I M

•

Nov 23, 2022

GOOOOD

By Amber V

•

Aug 13, 2022

awsome

By Kehinde D

•

May 23, 2022

Great!

By Zijun H

•

Apr 30, 2022

Great!

By Abul B

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Feb 22, 2022

thanks

By Ishita

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Mar 1, 2021

Great!

By Kasi V

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Nov 1, 2020

Thanks

By Piriyapong W

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May 25, 2020

Great!

By Purple M

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Mar 20, 2020

great!

By Alberto T

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Feb 28, 2020

Useful

By oussama r

•

Oct 12, 2019

Greaat