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

26,560 ratings

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


Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.


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

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4801 - 4825 of 5,824 Reviews for Introduction to Data Science in Python

By Matthew C

Jan 1, 2017

good solid intro to python munging.

By Manoj Y

Jan 7, 2021

best for beginners in data science

By Yousef M

Apr 24, 2020

autograder is not fun to work with

By Yu D

Aug 8, 2019


By vikash s

Mar 2, 2019


By Selvakumar

May 30, 2018

Good way of starting Data Science.

By Shivam A

Oct 15, 2020

Needed a bit of more on Python DS

By Rakhshanda M

Jul 18, 2019

Could have been more interactive.

By Miguel L P

Oct 19, 2020

Really good exercises and theory

By gaurav s

Sep 9, 2020

That was tough but it was worthy


May 18, 2020

The week4 could have been better

By Mukul S

May 14, 2020

accent is not easy to understand

By Hamideh T

May 16, 2019


By Shankar J

Mar 18, 2018

Good course with great practice.

By Dongqing X

Nov 18, 2017

The ipynb service is not stable.

By Sunder L

Jul 31, 2020

my overall experience was good.

By Ashish C K

May 2, 2020

expected much more but its good

By Farheen N

Apr 2, 2018

Very good course for beginners.

By Abdul R

Dec 28, 2017

Assignments are little tough :)

By Yilin H

Nov 25, 2017

too difficult for first learner


Jun 6, 2021

fast pace - tough to catch up

By Anik S

Feb 18, 2021

Overall an informative course.

By Ilina D

Sep 22, 2020

not enough practical exercises

By Shaniya

Jun 27, 2020

i loved it... very informative

By José D A M

May 22, 2020

Too fast, not enough examples.