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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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3601 - 3625 of 5,968 Reviews for Introduction to Data Science in Python

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 Tran P H

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Nov 13, 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 19, 2020

knl

By PALANIAPPAN S

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May 30, 2020

Nil

By Hassan N

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Dec 24, 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

By JME

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Oct 3, 2017

r

o

b

By Sk M u

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Oct 22, 2024

no

By Nirav N

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Mar 10, 2023

NA

By afraj m [ T ]

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Jul 13, 2020

no

By Aditi N

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Dec 31, 2019

ok

By Ankit S

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Jun 6, 2022

.

By CHARISHMA S

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Jun 13, 2021

By Raj R

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Sep 4, 2020

d

By Shrikant S T

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Aug 20, 2020

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By Vaibhav D K

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Aug 8, 2020

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By SHREEKHAA V K M

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Jul 13, 2020

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By Prathmesh M

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Jul 10, 2020

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