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

4.5
stars
26,999 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

AN

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I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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3576 - 3600 of 5,937 Reviews for Introduction to Data Science in Python

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 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 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 9, 2020

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