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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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3576 - 3600 of 5,993 Reviews for Introduction to Data Science in Python

By Ghulam H

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Jan 30, 2021

good

By zhihao l

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Jan 7, 2021

good

By AK S

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Sep 27, 2020

nice

By SHREYASHI D

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Sep 4, 2020

good

By miguel s

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Aug 25, 2020

nice

By Srirup L

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Jul 27, 2020

best

By RAGHUVEER S D

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Jul 25, 2020

good

By Bruno H K F

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Jul 19, 2020

Good

By Madhuri S

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Jul 15, 2020

Good

By ADITI S

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Jul 1, 2020

Good

By Mukesh D

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Jun 27, 2020

Good

By Kapil S

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Jun 20, 2020

nice

By ALLAM B

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Jun 19, 2020

good

By Amulya J

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Jun 17, 2020

good

By Gaurav c

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Jun 15, 2020

Good

By Ritam M

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May 25, 2020

good

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May 19, 2020

good

By SIVAPRIYA S S

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May 17, 2020

good

By Bathula A B

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May 16, 2020

Good

By Rishav S

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May 6, 2020

good

By vaibhav p

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May 1, 2020

good

By AREVALO, A I (

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Apr 23, 2020

good

By Palaparthi A

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Apr 20, 2020

GOOD

By Balaji S

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Apr 18, 2020

Nice

By Pavan S K

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Feb 14, 2020

good