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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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3301 - 3325 of 5,937 Reviews for Introduction to Data Science in Python

By Pornpra C

Jun 11, 2020

Good course

By Supriya S B

Jun 1, 2020

nice course

By Deleted A

May 30, 2020

Nice course

By SHYAM S R

May 27, 2020

Really nice

By T.S.Rajashekar R

May 20, 2020

good course

By SAYAN M

May 17, 2020

awesome !!!

By Abayomi O

May 3, 2020

Outstanding

By Julio R

Apr 23, 2020

Very good !

By Muhammad A J

Mar 28, 2020

Good Course

By Vladimir L

Mar 25, 2020

Exceptional

By José C

Feb 23, 2020

Excellente!

By samir

Oct 23, 2019

Best Course

By Siddharth L

Jul 24, 2019

Good course

By Pedro O

Jul 10, 2019

Well done !

By Haoan W

Jul 2, 2019

good course

By Deleted A

Feb 14, 2019

Good Course

By sabeeh a v

Nov 5, 2018

nice course

By Paramesh.S

Oct 7, 2018

Very useful

By 廖云坤

Jul 7, 2018

Nice Course

By Damir K

Mar 29, 2018

nice course

By Difeng J

Mar 8, 2018

nice course

By Lakshmi V

Jan 5, 2018

Good Course

By Jiarui L

Dec 3, 2017

Nice course

By Zheng S

Nov 16, 2017

very useful

By Felipe D

Jul 24, 2017

Good course