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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

24,697 ratings
5,539 reviews

About the Course

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Top reviews

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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4451 - 4475 of 5,486 Reviews for Introduction to Data Science in Python

By Sahil G

Mar 26, 2020

thanks , the course will be helpful for my work

By Ardan B P

Dec 19, 2019

Good, but I think the video course is too simple

By Rachel S

Aug 14, 2018

Some directions were confusing but learned a lot

By Shankar S

Jun 23, 2020

I found this course very useful and challenging

By Qucheng P

Aug 29, 2019

Need to have more guidance for the assignments!

By Raúl A R C

Dec 15, 2018

some of the automatic revision has some issues.

By Marin S

Dec 2, 2018

Auto grader needs better debugging capabilities

By Angus L

Jun 2, 2017

very good course and the lecturer is very good.

By Mathura D

Jul 23, 2020

The last week module was not very much cleared


Jun 7, 2020

The course is very good so as the instructor .

By Dongqing Y

May 8, 2020

Assignments barely reflect the course contents

By Christian C G E

Apr 28, 2020

Interesting topics but very fast explanations.

By Vikas Y

Aug 20, 2018


Give some more insights of the basics.

By Serge B

Jul 5, 2018

exercices should be explained in a clearer way

By Jaap d K

Mar 23, 2018

Nice introduction. Learned a lot about Pandas.

By Takayuki S

Mar 13, 2018

It took a while to complete, but was worth it!

By Sing C Y

Aug 9, 2021

I like the real-world data for the assignment

By estelle B

Oct 4, 2020

should be done after good knowledge of Python

By Prakash B

Aug 9, 2020

one of the best course for the data scientist


Jul 18, 2020

Good ,But its not recommended for beginners .

By Islombek A

Oct 2, 2019

Quite good, but mostly I need to learn on web

By Neha b

Jul 20, 2019

great course, very good learning opportunity.

By Soumya G

Apr 15, 2018

This course is not for new learners of Python

By Irena M

Mar 6, 2018

Lectures should be longer witjh more details.

By Soo H K

Jun 18, 2017

kind of tough to catch up with as a beginner.