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

4.5
stars
26,915 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.

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.

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3526 - 3550 of 5,919 Reviews for Introduction to Data Science in Python

By DURGA R

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Aug 12, 2021

Nice

By Paliviri V K

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Jul 29, 2021

Nice

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Jul 20, 2021

nice

By Abdul R A

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Jun 29, 2021

best

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May 30, 2021

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Apr 16, 2021

Good

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Mar 5, 2021

nice

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Jan 29, 2021

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Jan 7, 2021

good

By AK S

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Sep 27, 2020

nice

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Sep 3, 2020

good

By miguel s

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Aug 24, 2020

nice

By Srirup L

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Jul 26, 2020

best

By RAGHUVEER S D

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Jul 25, 2020

good

By Bruno H K F

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Jul 18, 2020

Good

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Jul 15, 2020

Good

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Jun 30, 2020

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Jun 27, 2020

Good

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

Good

By Ritam M

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May 25, 2020

good

By madupuri v

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May 19, 2020

good

By SIVAPRIYA S S

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May 17, 2020

good