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

4.5
stars
25,656 ratings
5,715 reviews

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

PK

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

YY

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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4826 - 4850 of 5,666 Reviews for Introduction to Data Science in Python

By SHASHANK M

Jun 29, 2020

Good one

By Prateek G

Apr 28, 2020

liked it

By Xuanan S

Dec 26, 2019

a

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a

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d

By Avi R

May 19, 2019

Awesome!

By Lionel_Guo

Mar 8, 2019

too hard

By Danish

May 3, 2017

good one

By Hritvik D

Aug 7, 2020

awesome

By Nirman T

Aug 1, 2020

pogger!

By CHARCHIL 1

Jun 5, 2020

Helpful

By vimard v

May 22, 2018

great !

By John P

Feb 25, 2018

Thanks

By Moe K O

Sep 25, 2020

Good.

By Jaisal S

Aug 21, 2020

Great

By Dev S

May 5, 2022

nice

By Vansh G

Apr 24, 2022

good

By Lucky K

Mar 28, 2022

Nice

By GOUTAM K

Aug 26, 2021

good

By SHUBHAM S C

Sep 4, 2020

nice

By sidharth k 0

Aug 24, 2020

good

By yogesh d

Jul 31, 2020

good

By Parth G

Jul 9, 2020

Good

By Hemaraj D

Jun 28, 2020

Good

By DIVYA A

Jun 15, 2020

BEST

By UMANG B

Jun 13, 2020

good

By Sudhanshu R

Jun 10, 2020

good