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

4.5
stars
27,240 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

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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3526 - 3550 of 5,986 Reviews for Introduction to Data Science in Python

By Yamuna S

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May 14, 2021

Skill

By AHOUNOU M

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Jan 11, 2021

Merci

By Muhammad S A

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Sep 29, 2020

goood

By rohit K

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Sep 23, 2020

great

By KUMMARI V V

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Sep 4, 2020

Great

By suttaphap

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Aug 21, 2020

great

By juan c l g

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Aug 7, 2020

great

By PRANDEEP K

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Jul 4, 2020

great

By Benjamin N

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Jun 18, 2020

Great

By SAAIL G G

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Jun 16, 2020

Great

By Raghav G

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May 27, 2020

great

By Ashwin P

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May 24, 2020

Great

By Umang S

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Dec 29, 2019

goood

By Shitao L

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Dec 8, 2019

GOOD!

By Abhishek Y

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Jul 9, 2019

Good.

By litsuki m

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Oct 7, 2018

great

By xuhp

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Sep 14, 2018

great

By Tianyang N

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Aug 28, 2018

Nice!

By Jiang H

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Apr 21, 2018

NICE!

By timothy m

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Nov 4, 2017

great

By Xueshen.Tao

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Feb 23, 2017

great

By Zahrah A

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Dec 6, 2025

Good

By MANISA D

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Nov 17, 2025

Good

By Ayush a B

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Sep 30, 2025

nice

By Ankit K

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Nov 26, 2024

good