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

4.5
stars
27,246 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

KL

Mar 12, 2018

A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.

ME

Jul 27, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

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5076 - 5100 of 5,987 Reviews for Introduction to Data Science in Python

By Piyush S

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Aug 16, 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 29, 2020

liked it

By Xuanan S

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Dec 26, 2019

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By Avi R

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May 19, 2019

Awesome!

By Lionel_Guo

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Mar 9, 2019

too hard

By Danish A

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May 3, 2017

good one

By Hritvik D

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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 Vincent V

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May 22, 2018

great !

By John P

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Feb 26, 2018

Thanks

By Moe K O

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Sep 26, 2020

Good.

By Jaisal S

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Aug 22, 2020

Great

By Jogeswar S

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Sep 13, 2024

good

By Lingam N

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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 25, 2022

good

By Lucky K

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Mar 29, 2022

Nice

By GOUTAM K

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Aug 26, 2021

good

By SHUBHAM S C

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Sep 5, 2020

nice