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

24,293 ratings
5,441 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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4076 - 4100 of 5,373 Reviews for Introduction to Data Science in Python

By Ramprakash V

Apr 9, 2017

A worthy course to begin Python & Data Science with. I enjoyed learning Data Science in Python.

By Zhijun C

Mar 27, 2017

Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.

By Md. S K A

Sep 21, 2019

Excellent and focused on application. But the instructions for assignments need to be refined.

By Vivek R

Jul 27, 2019

The course is good. But is very fast-paced. You do need to have a good experience with python.

By Akila R

Dec 7, 2017

The final assignment is very tough and needs more tutorial help and more descriptive questions

By Jakob S M

Jul 17, 2017

Grate material.

Some of the videos are not correctly cut, making them a bit confusing at times

By Da Z

Mar 12, 2017

requires too much self-learning,could be overwhelming to those who lack concrete python basics

By 张龙

Jan 17, 2017


By Nuno d S

Dec 11, 2016

Very nice course. The only problem that I found was the lack of exercises between assignments.

By Paweł R

Dec 3, 2016

Good introductory course, but I must admit that the assignments are not explained well enough.


Jan 19, 2021

Assignments were a bit tough(had to do a bit of searching on net) but the lectures were good.

By Ali A

Mar 12, 2020

it was really a good course, But there should be detailed explanations as it is for beginners

By Daan L

Mar 3, 2020

The autograder was very frustrating, threw a lot of errors. Course content was great though!!

By Rohit R W

Jul 29, 2019

These course is very good for data science with python in future for job purpose in industry.

By Gonzalo R G

Feb 12, 2018

The course is quite complete but it lacks a bit of extra formation towards the last exercise.

By Gareth J

Nov 19, 2017

A good course. The timescale for completion is realistic and the assessments are not trivial.

By Rupert

Jun 5, 2017

Tough speed - learning effect created by the weekly assignments. Good start into data sience.

By Najmeh R

Jun 4, 2017

The videos are not so comprehensive! but by doing exercises, your coding skills will improve.

By Prabhant S

Mar 2, 2017

the content was more focused on just pandas library

couldve included matplotlib and scipy also


Jun 27, 2020

To learn the basic level, this type of approaching is very good and it is done user-friendly

By Ashik S

May 2, 2020

Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)

By Dmytro S

Nov 5, 2017

Extremely good, however requires a much more time and patience than specified (estimations).

By Sairaj S

Jul 27, 2020

Good Course but lack of documentation and theory part is less difficult to solve assignment

By Kanav G

Jul 5, 2020

Takes a lot more than the written 16 hours, but overall a good foundation for data cleaning

By Vinicius A d O

May 7, 2020

Some problems in auto-grader make the experience be 90% awsome. Besides that would be 100%.