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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 GUNISETTI S S S S

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Jan 4, 2020

GOOD

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Dec 19, 2019

Nice

By Yao Z

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Nov 21, 2019

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Nov 1, 2019

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good

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Apr 10, 2019

GOOD

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Mar 29, 2019

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good

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Feb 12, 2019

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Jan 9, 2019

good

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Nov 19, 2018

good

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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

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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

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By Nirav N

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Mar 10, 2023

NA

By afraj m [ T ]

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Jul 13, 2020

no