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

4.5
stars
26,898 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 zhihao l

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Jan 7, 2021

good

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Sep 27, 2020

nice

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Sep 3, 2020

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Aug 24, 2020

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Jul 26, 2020

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Jun 20, 2020

nice

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Jun 18, 2020

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Jun 15, 2020

Good

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May 25, 2020

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May 19, 2020

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May 17, 2020

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May 16, 2020

Good

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May 1, 2020

good

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Apr 23, 2020

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Apr 20, 2020

GOOD

By Balaji S

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Apr 17, 2020

Nice

By Pavan S K

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Feb 13, 2020

good

By Devapatla G R

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Jan 6, 2020

Good