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

4.5
stars
27,126 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

CB

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.

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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By Kapil S

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Jun 20, 2020

nice

By ALLAM B

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Jun 18, 2020

good

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Jun 17, 2020

good

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Jun 15, 2020

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good

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May 17, 2020

good

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May 16, 2020

Good

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May 5, 2020

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May 1, 2020

good

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Apr 23, 2020

good

By Palaparthi A

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Apr 20, 2020

GOOD

By Balaji S

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Apr 17, 2020

Nice

By Pavan S K

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Feb 13, 2020

good

By Devapatla G R

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Jan 6, 2020

Good

By GUNISETTI S S S S

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Jan 4, 2020

GOOD

By SENGA, E N (

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Dec 19, 2019

Nice

By Yao Z

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Nov 21, 2019

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By T.H. J

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Nov 1, 2019

Good

By Zack L

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Jun 2, 2019

good

By Utkarsh K S

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Apr 10, 2019

GOOD

By shaik A R

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Mar 29, 2019

hjjh

By ABHAY K M

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Mar 1, 2019

good

By Danial A

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Feb 24, 2019

Good

By Himanshu s

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Feb 12, 2019

good