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

4.5
stars
27,268 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

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.

JT

Apr 22, 2018

Great course, make sure you are comfortable in Python before diving in. Covers basic DataFrame work including cleaning, generating new data from existing data, and how to execute merge/join/update.

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3601 - 3625 of 5,993 Reviews for Introduction to Data Science in Python

By Devapatla G R

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Jan 7, 2020

Good

By GUNISETTI S S S S

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Jan 4, 2020

GOOD

By SENGA, E N (

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Dec 20, 2019

Nice

By Yao Z

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Nov 22, 2019

N

i

c

e

By T.H. J

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Nov 2, 2019

Good

By Zack L

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Jun 3, 2019

good

By Utkarsh K S

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Apr 10, 2019

GOOD

By shaik A R

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Mar 29, 2019

hjjh

By ABHAY K M

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Mar 2, 2019

good

By Danial A

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Feb 24, 2019

Good

By Himanshu s

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Feb 12, 2019

good

By 张逸

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Jan 9, 2019

good

By Lee S

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Nov 19, 2018

good

By Suzuma A B

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Sep 25, 2018

Nice

By Tony K

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Mar 19, 2018

good

By JAYANTA K M

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Jan 2, 2026

ok,

By Miguel S A G

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Nov 28, 2025

God

By Tran P H

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Nov 14, 2022

yes

By Raghav s

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May 27, 2022

wow

By Abcd

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Apr 29, 2022

yup

By yousef e

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Jul 20, 2020

knl

By PALANIAPPAN S

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May 31, 2020

Nil

By Hassan N

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Dec 25, 2019

tnx

By Thomas F

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Jun 21, 2019

:-)

By Jan-Jaap G d S

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Nov 18, 2017

n/a