Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,487 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

Mar 9, 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.

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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2101 - 2125 of 3,088 Reviews for Data Analysis with Python

By DYLAN E

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Sep 17, 2023

tanks

By Tuan P

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Oct 31, 2022

nice

By 21083010111 I R A

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Oct 21, 2022

good

By Aravind R

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Oct 15, 2022

good

By JAIPRAKAS G

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Oct 10, 2022

good

By SONALI M

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Oct 6, 2022

good

By Nightcore E

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Jul 15, 2022

tuyệt

By Amol C

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Sep 6, 2021

great

By Mehmet G I

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Feb 18, 2021

10/10

By KIM T

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Feb 16, 2021

Great

By CS M L

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Jan 26, 2021

great

By Shreya M

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Oct 13, 2020

Great

By Rafiul A

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Aug 4, 2020

Great

By Pankaj S

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Jun 24, 2020

great

By Fernando P

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May 13, 2020

Nice!

By saiganesh g

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May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

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Jan 18, 2020

goood

By Diego B

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Dec 18, 2019

great

By Arnab C

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Aug 15, 2019

best!

By Kathleen P

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Dec 31, 2018

Great

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