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

4.5
stars
27,109 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

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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.

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3476 - 3500 of 5,958 Reviews for Introduction to Data Science in Python

By Abhimanyu .

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Jun 18, 2020

amazing

By Ravali

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Jun 6, 2020

usefull

By Carlos D J

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May 6, 2020

Amazing

By SALMON O M

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Mar 3, 2020

Weldone

By furkan g

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Jan 26, 2020

Perfect

By Muktadirul I

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Jan 19, 2020

Helpful

By OROPILLA, J D (

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Dec 19, 2019

Amazing

By Manuel G

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Aug 18, 2019

Amazing

By 杨逸飞

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Aug 4, 2019

cool ex

By Senthil R B

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Apr 3, 2019

Awesome

By Nikhil P

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Nov 23, 2018

AWESOME

By HoJoongKim

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Sep 16, 2018

Good!!!

By SADA S P

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Jun 26, 2018

Awesome

By Dormah D K

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Jun 16, 2018

awesome

By Sandeep J

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May 6, 2018

Awesome

By nayan m

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Apr 5, 2018

Amazing

By zhangzhuoran

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Mar 23, 2018

作业难度有点高

By Yuchen C

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Feb 3, 2017

Helpful

By Paweł J

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Nov 27, 2016

Thanks!

By Jeff D

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Dec 6, 2020

Thanks

By Muhammad F D P

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Jun 21, 2020

enough

By Teplov A V

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Apr 24, 2020

Nice))

By Yang Y

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Apr 13, 2020

ggood!

By Visswanath V

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Feb 23, 2020

great!

By Xiaoou S

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Nov 29, 2019

great!