Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,378 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!

Filter by:

2201 - 2225 of 3,065 Reviews for Data Analysis with Python

By Jimut B P

•

Sep 22, 2018

nice

By nathan d

•

Sep 18, 2025

top

By RIJEN J P S

•

Jul 7, 2025

oke

By ORPILLA, J T B

•

Jun 4, 2025

N/A

By Sofia S

•

May 24, 2025

Yes

By Oyarinu O E

•

Jun 1, 2024

Yes

By Sai S P

•

Apr 11, 2022

hhj

By Usman R M

•

Apr 27, 2019

top

By YANAMADALA P

•

Apr 3, 2019

gud

By Dipali K

•

Apr 14, 2025

By Abhishek M

•

Mar 5, 2025

By Rex S A

•

Nov 29, 2022

By Yacin A M

•

Nov 16, 2022

By SHREYANSH J

•

Feb 3, 2022

By Talha A

•

Sep 16, 2019

By JAIRO M R M

•

Mar 23, 2025

By Hamza o

•

Oct 6, 2024

By Victor M C

•

Jul 1, 2024

By Nikita C

•

Mar 4, 2024

By LALITHA K M

•

Nov 1, 2022

By Mohamed B

•

Sep 26, 2022

By Chandra S

•

Aug 7, 2021

By Ali C B

•

Dec 20, 2020

By Juan P

•

Apr 7, 2019

By Gaurav D

•

Apr 3, 2019