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

4.5
stars
26,999 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

AN

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I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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3476 - 3500 of 5,937 Reviews for Introduction to Data Science in Python

By nayan m

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Apr 5, 2018

Amazing

By zhangzhuoran

•

Mar 23, 2018

作业难度有点高

By Yuchen C

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Feb 3, 2017

Helpful

By Paweł J

•

Nov 27, 2016

Thanks!

By Jeff D

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Dec 6, 2020

Thanks

By Muhammad F D P

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Jun 21, 2020

enough

By Teplov A V

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Apr 24, 2020

Nice))

By Yang Y

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Apr 13, 2020

ggood!

By Visswanath V

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Feb 23, 2020

great!

By Xiaoou S

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Nov 29, 2019

great!

By Kiko S

•

Oct 21, 2019

Super!

By yu_yang1998

•

May 7, 2019

学习曲线略陡

By ZHUOFU L

•

Feb 26, 2019

useful

By anirudh j

•

Jan 23, 2019

USEFUL

By Fredrik Ã…

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Sep 12, 2018

Great!

By Oleg D

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Feb 14, 2018

Great!

By Marcos A (

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Dec 29, 2017

Top d+

By Md J A

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Aug 18, 2017

great!

By Alexander A S G

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Jun 4, 2017

Thanks

By Dendi R

•

Oct 18, 2022

Good

By Rayi R

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Oct 13, 2022

nice

By Mashaeel

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Jul 28, 2022

great

By Chang S

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Sep 8, 2021

good

By Gurleen S

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Jul 2, 2021

great

By Yamuna S

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May 14, 2021

Skill