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

4.5
stars
26,999 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

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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3526 - 3550 of 5,941 Reviews for Introduction to Data Science in Python

By DINESH K

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Oct 13, 2023

good

By Srikanth R

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Sep 5, 2023

Good

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Jun 8, 2023

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Aug 5, 2022

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May 3, 2022

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Aug 11, 2021

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Aug 11, 2021

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Jul 29, 2021

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Jul 19, 2021

nice

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Jun 29, 2021

best

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May 30, 2021

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By Tuan P Q

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Apr 16, 2021

Good

By Breno N T

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Mar 5, 2021

nice

By Ghulam H

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Jan 29, 2021

good

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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 3, 2020

good

By miguel s

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Aug 24, 2020

nice