Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,653 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

AM

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.

BK

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

Filter by:

2601 - 2625 of 3,121 Reviews for Data Analysis with Python

By Moaz M

•

Oct 11, 2019

some topics have not been covered well like piplines , cross validation

By David O

•

Jul 26, 2020

The materials are well-organized, but there are many typos throughout.

By Angeliki M

•

Dec 2, 2019

A really good course. Probably the best so far in the IBM Certificate.

By Nanjun L

•

Jan 9, 2019

Would be better if more programming-oriented assignments are provided.

By Rahul P

•

May 12, 2020

Excellent course with detailed hands-on experience via lab exercises.

By Manas C

•

Mar 31, 2020

The course covers all the fundamental concepts needed for a beginner.

By Obong G

•

Feb 19, 2019

Though found the ending modules a bit challenging, its a great course

By Padraig M D

•

Jun 7, 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

By HEMANTH B M S S B

•

Nov 7, 2025

Good explanation and very good projects to understand the concepts.

By Charles R

•

Jun 15, 2023

Probably needs a refresh based on current environments now present.

By mohsin a

•

Oct 17, 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

By Rohit S P

•

Apr 25, 2019

Needed a more brief explanation on ridge regression and grid search

By Garimella B S

•

Apr 28, 2025

Good introductory course on Data Analysis. Hands-on labs are good.

By Ninad M K

•

Jul 14, 2020

It is a great course and it teaches me data analysis with python.

By Ginger M

•

Mar 18, 2020

I think that for weeks 4 and 5 the course needs more explanation

By Wen P

•

Dec 24, 2019

Easy understanding

Good sample and comprehensive

Good for beginner

By Jeff J

•

Aug 27, 2019

Nicely explained. But many minor mistakes here and there though

By Bashar M

•

Feb 5, 2019

thank you very much ,this course was very useful and interesting

By Luis G F C

•

Feb 21, 2025

Muy bueno, aunque podría ser más detallado en las explicaciones

By Cherif A

•

Dec 14, 2019

as usual the labs are great but the videos could be much better

By Nicholas J F

•

May 3, 2019

Good content. Still spelling errors and mistakes in some place.

By Mudita N

•

Feb 20, 2019

Last few weeks were a bit confusing but overall a good course .

By Ismayil J

•

Nov 5, 2018

Good overview of classic Statistic methods performed in Python.

By laye c

•

Jun 23, 2025

très content de faire ce cours et obtenir une autre compétence