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.

Filter by:

2026 - 2050 of 3,106 Reviews for Data Analysis with Python

By Aravind R

•

Feb 14, 2020

Excellent

By Johan R

•

Jan 16, 2020

Excelente

By Satishkumar M

•

Jan 4, 2020

Excellent

By Pradeep M

•

Dec 25, 2019

Good one!

By Muhammad S K

•

Sep 17, 2019

Excellent

By YIYUN M

•

Aug 25, 2019

excellent

By Madan T

•

Jul 5, 2019

Excellent

By Georgio Z

•

Jun 18, 2019

perfect !

By Chironjeet K C

•

May 31, 2019

Was good.

By Ahmed E A

•

Mar 26, 2019

very nice

By chillamahesh

•

Mar 9, 2019

very nice

By JunqiHu

•

Sep 19, 2018

s实际的案例不够多

By Mani k

•

Oct 31, 2025

excelent

By jaime g m l

•

Jul 3, 2025

exceente

By JAIME A R C

•

May 16, 2025

Nice all

By kong r

•

Dec 10, 2024

the best

By Ahmed A E A K

•

Jul 16, 2024

Great 👍

By Morris N

•

Jul 15, 2024

EXCELENT

By URINOV_JAMSHID_ORTIQOVICH

•

May 13, 2024

the best

By Misael V M

•

Mar 2, 2024

excelent

By MUHAMMAD F

•

Jul 28, 2023

Good job

By CRISTIAN A T R

•

Jun 14, 2023

excelent

By Christopher N

•

Jul 25, 2022

good job

By Urvashi R

•

Jun 28, 2022

amazing

By James N N

•

May 24, 2022

Amazing!