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

4.5
stars
27,149 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

AV

Jan 1, 2017

To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

CB

Feb 7, 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.

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3526 - 3550 of 5,968 Reviews for Introduction to Data Science in Python

By rohit K

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Sep 23, 2020

great

By KUMMARI V V

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Sep 4, 2020

Great

By suttaphap

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Aug 22, 2020

great

By juan c l g

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Aug 8, 2020

great

By PRANDEEP K

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Jul 4, 2020

great

By Benjamin N

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Jun 18, 2020

Great

By SAAIL G G

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Jun 16, 2020

Great

By Raghav G

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May 27, 2020

great

By Ashwin P

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May 24, 2020

Great

By Umang S

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Dec 29, 2019

goood

By Shitao L

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Dec 9, 2019

GOOD!

By Abhishek Y

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Jul 9, 2019

Good.

By litsuki m

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Oct 7, 2018

great

By xuhp

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Sep 14, 2018

great

By Tianyang N

•

Aug 28, 2018

Nice!

By Jiang H

•

Apr 21, 2018

NICE!

By timothy m

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Nov 5, 2017

great

By Xueshen.Tao

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Feb 23, 2017

great

By Ankit S

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Nov 26, 2024

good

By Ashok K R

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Sep 19, 2024

Nice

By DINESH K

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Oct 13, 2023

good

By Srikanth R

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Sep 5, 2023

Good

By Padala V

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Jun 9, 2023

good

By NGUEKWEMO D N E

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Mar 9, 2023

good

By Nursultan K

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Aug 5, 2022

Nice