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

4.5
stars
26,908 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

YH

Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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

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By GOUTAM K

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Aug 26, 2021

good

By SHUBHAM S C

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Sep 4, 2020

nice

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Aug 24, 2020

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Jun 15, 2020

BEST

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Jun 13, 2020

good

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May 25, 2020

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May 17, 2020

Nice

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May 6, 2020

good

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May 5, 2020

good

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Sep 7, 2019

Good

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Sep 7, 2019

godd

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Jun 21, 2019

good

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Jun 4, 2019

Good

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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

gd

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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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