Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

14,927 ratings
2,241 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.


May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

Filter by:

926 - 950 of 2,246 Reviews for Data Analysis with Python

By Saeed U

Nov 25, 2019

Great introduction to Data Analysis with Python

By Anushil G D

Jun 8, 2019

Well Structured Projects Would Have been better

By Ian C

Apr 11, 2019

Some Jupyter Notebook cells seem to be outdated

By Mohamed A A

Jul 22, 2021

Very Good Course i like More the Modeling Part

By Parin S

Jul 9, 2020

Amazing course for beginners in data analysis.

By Divyanshu P

Jun 17, 2020

very nice course!! very nicely explain concept

By Sharannyo B

Jun 7, 2020

Thank you Coursera for this wonderful course !

By Daniel C

Jun 2, 2020

A quite practical introduction to the subject!


May 4, 2020

Excelente, muy bueno. Se aprende bastante!!!!!

By Kavalipurapu H

May 3, 2020

Awesome course! Really happy with the content.

By José A E L

Apr 20, 2020

Excellent course. Very informative and precise

By Chandra R M

Apr 13, 2020

This course is very hectic and lots of fun. :)

By Chinmay M

Feb 6, 2020

Well designed course with outstanding content


Feb 2, 2020

the best course untill now of the certificate!


Sep 2, 2019

it was explanatory and very easy to understand

By Abayomi O

Jan 30, 2019

Very insightful and challenging. Great Course!

By Gaurav S

Jan 20, 2019

Very good Course although more hands-on needed

By Kyaw H

Feb 10, 2022

R​eally good and useful course. Thanks a lot.

By Ramazan T

May 12, 2021

It was a really well-prepared course. Thanks.

By joydeep

Mar 4, 2021

Awesome course and the whole setup. Thank you

By Marcos L L

May 24, 2020

I learning many things in this course. Thanks

By Josh H

Jan 3, 2020

amazing introduction to coding and regression

By Wadii G

Aug 26, 2019

Excellent courses. Thank you Coursera and IBM

By feiwen x

Jul 23, 2019

very great and exactly useful for a beginner!

By Divyanshu R

Jan 19, 2022

it was awesome and very helpful for my study