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

4.5
stars
27,061 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

YH

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.

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 5,948 Reviews for Introduction to Data Science in Python

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!

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Nov 4, 2017

great

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Feb 23, 2017

great

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Sep 19, 2024

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Oct 13, 2023

good

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Sep 5, 2023

Good

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Mar 9, 2023

good

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Aug 5, 2022

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nice

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May 3, 2022

good

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Apr 27, 2022

nice

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good

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good

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good

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Jan 21, 2022

good

By Rhijisha D

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Aug 12, 2021

Nice

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Aug 12, 2021

Nice

By Paliviri V K

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Jul 29, 2021

Nice

By BODAKUNTLA D C

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Jul 20, 2021

nice

By Abdul R A

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Jun 29, 2021

best

By Prabhat P

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May 30, 2021

Best