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

4.5
stars
26,961 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

DT

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Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.

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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5526 - 5550 of 5,927 Reviews for Introduction to Data Science in Python

By ABHIJEET K R

Sep 10, 2020

not so good!!!!1

By uday s

Apr 14, 2020

to boring course

By Dheeraj s

Jun 20, 2020

asfsdgdfgdxgghj

By Damini R

May 19, 2020

GOOD EXPERIENCE

By Daya_Jin

Jul 20, 2018

作业描述不清楚,有歧义!!!

By Shubhi V

Jul 25, 2020

less hands on

By Sayyaparaju N V V V

May 9, 2018

Nice one :)

By GIRIRAJ B

Jan 28, 2019

Good course

By abhishek

Jun 10, 2020

very brief

By MariaStephan J

May 11, 2020

very fast

By Arya P

Jul 2, 2020

Too fast

By Tushar T

Aug 17, 2023

wknfkd

By Weerachai Y

Jun 29, 2020

thanks

By MAURICIO Y P

Mar 18, 2022

good

By CHILUKOTI N A

Sep 28, 2020

good

By Govardhani S

Aug 6, 2020

good

By Aayesha N

Jul 30, 2020

Nice

By Aansh S

Jul 10, 2020

good

By Bicky G

Jun 13, 2020

nice

By GOWTHAM M

May 22, 2020

good

By xiao h

Oct 22, 2019

太难了8

By DELA C J K (

Oct 12, 2019

HARD

By Mohammad J

Aug 5, 2017

good

By Pranav P

Jun 17, 2021

ok

By Yash V B

May 20, 2020

ok