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

4.5
stars
27,213 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

PK

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

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.

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By sidharth k 0

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Aug 24, 2020

good

By yogesh d

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Jul 31, 2020

good

By Parth G

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Jul 9, 2020

Good

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Jun 27, 2020

Good

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Jun 15, 2020

BEST

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Jun 13, 2020

good

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Jun 9, 2020

good

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May 25, 2020

Good

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May 17, 2020

Nice

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May 6, 2020

good

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May 5, 2020

good

By somasekhar k

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Sep 7, 2019

Good

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Sep 7, 2019

godd

By Ankit K

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Jun 21, 2019

good

By Anantha K

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Jun 4, 2019

Good

By Md M H

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Aug 14, 2018

good

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Sep 4, 2017

good

By jihoonbaek

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Oct 27, 2019

di.

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Aug 27, 2020

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Jul 10, 2025

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Jan 22, 2025

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Sep 19, 2020

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By Mr. S D P

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May 3, 2020

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By Saulie

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Mar 25, 2020

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By 黄远（Mr.依然）

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Dec 28, 2019

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