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

24,861 ratings
5,563 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

Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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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4551 - 4575 of 5,507 Reviews for Introduction to Data Science in Python

By ankit k

May 18, 2020

please enhance lecture delivery way

By Ankit S R

Apr 26, 2020

Nice course , and very informative.

By Andy B

May 14, 2019

Very self-directed and challenging.

By Yuanlong Z

Mar 26, 2019



By Yazan K

Sep 29, 2018

A great course, Highly recommended!

By Quancheng H

Jan 3, 2018

The test is too hard for beginners!

By Jesús P

Dec 6, 2017

Great course but could be improved.

By Apurve D

Aug 14, 2017

Very difficult course for beginners

By Botond F

Jun 11, 2017

The test descriptions are ambiguous

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

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


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.