Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,594 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!

Filter by:

1976 - 2000 of 3,111 Reviews for Data Analysis with Python

By Ahmed T

•

Jan 20, 2019

Amazing :)

By Jaimahaprabhu A

•

Nov 30, 2018

GUD COURSE

By Isaias r c

•

Jan 6, 2026

Excelente

By gildardo a c g

•

Dec 26, 2025

Excelente

By Brian S

•

Dec 22, 2025

Educative

By SALMAN S F A S S F A

•

Nov 30, 2025

جيدة جداً

By JORGE E G P

•

Nov 28, 2025

Muy bueno

By SARA M D A

•

Nov 28, 2025

Excelente

By Jorge A c c

•

Nov 20, 2025

excelente

By Juan C G R

•

Oct 20, 2025

Excelente

By Martin g

•

Aug 1, 2025

Excellent

By Brayan A D P

•

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

•

Oct 10, 2024

Very good

By Jose A A G

•

Sep 17, 2024

excellent

By Carlos A R P

•

Sep 4, 2024

Excelente

By Jose D

•

Aug 25, 2024

very good

By Abel G

•

Aug 15, 2024

Excellent

By Amandeep S

•

Aug 3, 2024

very nice

By Abhishek K S

•

Jul 29, 2024

thank you

By MOHAN B

•

Jun 11, 2024

Very good

By Hnin A

•

May 15, 2024

difficult