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Learner Reviews & Feedback for Data Analysis with Python by IBM

10,386 ratings
1,464 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 20, 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 06, 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.

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1151 - 1175 of 1,453 Reviews for Data Analysis with Python

By Sanskriti T

May 17, 2020

This course is great!!! I loved it and provides better understanding of data analytics

By Munir N

Oct 17, 2019

Again very good designed by IBM and Coursera. It was a bit tough but good for learning

By Rubén A G Z

Apr 12, 2020

Please include more examples in the laboratories, for a better interpretation.


By E. R " A

Mar 28, 2020

An extraordinary well-designed course with excellent courseware and tests. A triumph!

By Sven B

Sep 26, 2019

Good quality, a little bit is missing the background explanation for some techniques.

By William S

Mar 29, 2020

The labs weren't available for a period of time, but the information is very useful!

By Lawrence F

Dec 18, 2018

Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

By Marcel M R

Jul 17, 2019

Week 04 and Week 05 are very confusing and only scratch the surface of the subject!

By Akash K M

Jan 26, 2020

nice and balanced course i like the assignments in this course a lot to learn here

By Edinson R S A

Mar 06, 2020

Good course, more explanation of the interpretations of the results will be great


Dec 29, 2019

Better explanation could have been given for beginners, otherwise, it was good.

By Diego S

Sep 22, 2019

I think needs to append more exercise. Too much content for a few of exercises

By Steven A M U

Jan 27, 2020

Una muy buena opción si se quiere empezar con el análisis de datos con python

By Mohammad Q

Aug 21, 2019

Great but it has lots of information and require simple statical background

By Saqlain H S

Oct 13, 2019

This course is very useful if you want to learn the field of data science.

By Coco

Jan 14, 2020

Quizs could be more practical. The part of explaining models is amazing!

By Manuel O

Aug 21, 2019

Learning may be more beneficially if we actually wrote most of the code.

By Kisha B

Jun 29, 2019

I took this course out of sequence, but it has been the best one so far!


Apr 23, 2019

The content in the lab is great! However, video courses are not so good.

By Moaz A S M

Oct 11, 2019

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

By Angeliki M

Dec 02, 2019

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

By Nanjun L

Jan 09, 2019

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

By Rahul P

May 13, 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