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

4.5
stars
26,908 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

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.

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

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5026 - 5050 of 5,918 Reviews for Introduction to Data Science in Python

By wally

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May 30, 2017

good intro

By MEFO S M B

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Nov 9, 2022

Very good

By Junior B

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Jul 23, 2022

tres cool

By Piyush S

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Aug 15, 2021

excellent

By Priyanka M

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Aug 14, 2020

very good

By Anant k

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Aug 10, 2020

excellent

By MOHD A

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May 9, 2020

fantastic

By VIDHU V A

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Jun 29, 2020

NICE ONE

By Shashank M

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Jun 29, 2020

Good one

By Prateek G

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Apr 28, 2020

liked it

By Xuanan S

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Dec 26, 2019

a

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By Avi R

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May 19, 2019

Awesome!

By Lionel_Guo

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Mar 8, 2019

too hard

By Danish A

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May 3, 2017

good one

By Hritvik D

•

Aug 7, 2020

awesome

By Nirman T

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Aug 1, 2020

pogger!

By CHARCHIL 1

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Jun 5, 2020

Helpful

By vimard v

•

May 22, 2018

great !

By John P

•

Feb 25, 2018

Thanks

By Moe K O

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Sep 25, 2020

Good.

By Jaisal S

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Aug 21, 2020

Great

By LINGAM N B

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Apr 28, 2023

good

By Dev S

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May 5, 2022

nice

By Vansh G

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Apr 24, 2022

good

By Lucky K

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Mar 28, 2022

Nice