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

4.5
stars
27,057 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

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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.

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5926 - 5948 of 5,948 Reviews for Introduction to Data Science in Python

By SATPUTE A P

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Apr 26, 2020

No proper explanation of concepts

By Daniel J

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Dec 16, 2016

unclear and poorly thought out

By Darvin, C

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Aug 11, 2020

Very Difficult and Quite fast

By Umesh M

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Jul 8, 2020

Too fast. Need to be deeper.

By Rafael M

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Sep 28, 2020

I want to drop the class

By Laith A

•

Sep 5, 2023

terrible infrastructure

By Pranav B

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May 9, 2020

Very bad for a beginner

By Nikhit M

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Jan 17, 2017

very tough to catch up.

By Shreya C

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Mar 5, 2022

Very bad worst course

By Toàn N N

•

May 27, 2020

Error in Assignment 3

By heszar

•

Nov 25, 2016

starting to like this

By Rajat J

•

Apr 7, 2020

Very rushed through.

By Divyanshu K M

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Aug 13, 2021

not for beginners

By Delight B K

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Aug 9, 2020

too comprehensive

By Youjong K

•

May 26, 2022

Too difficult

By Haris I

•

Sep 1, 2020

Impractical

By Andrew K

•

Jan 18, 2022

Too quick

By Atheer B A

•

Aug 21, 2024

not good

By Hafiz M

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Aug 22, 2024

wrong

By JULIO E M G

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Sep 21, 2021

hjhjh

By Tarun

•

Aug 3, 2020

easy

By Raju C

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Oct 2, 2023

Bad

By Eren K

•

Feb 1, 2023

ew