Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,383 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.

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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1951 - 1975 of 3,065 Reviews for Data Analysis with Python

By Melissa k

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Apr 6, 2020

very clear

By Sérgio Á d A

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Mar 25, 2020

Fantastic.

By Paulo C d S N

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Mar 21, 2020

Excellent!

By jesus m c b

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Mar 3, 2020

Its Great.

By CRISTHIAN C Z M

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Feb 26, 2020

Great Job!

By JEFREE J P M

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Jan 24, 2020

Excelente.

By CARLOS A H G

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Jan 24, 2020

its great-

By Smitha P

•

Dec 8, 2019

Nice class

By Ahmed T

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Jan 20, 2019

Amazing :)

By Jaimahaprabhu A

•

Nov 30, 2018

GUD COURSE

By Martin g

•

Aug 1, 2025

Excellent

By Brayan A D P

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Jul 30, 2025

excelente

By Victor a C c

•

Jun 24, 2025

excelente

By Көпбай Т Е

•

Apr 23, 2025

все супер

By Colors a T T

•

Jan 30, 2025

Excellent

By Lucieny I P

•

Oct 10, 2024

Excelente

By Tiến P N N

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Oct 10, 2024

Very good

By Jose A A G

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Sep 17, 2024

excellent

By Carlos A R P

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Sep 4, 2024

Excelente

By Jose D

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Aug 25, 2024

very good

By Abel G

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Aug 15, 2024

Excellent

By Amandeep S

•

Aug 3, 2024

very nice

By Abhishek K S

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Jul 29, 2024

thank you

By MOHAN B

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Jun 11, 2024

Very good

By Hnin A

•

May 15, 2024

difficult