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

4.5
stars
27,109 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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3526 - 3550 of 5,958 Reviews for Introduction to Data Science in Python

By Ashwin P

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May 24, 2020

Great

By Umang S

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Dec 29, 2019

goood

By Shitao L

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Dec 8, 2019

GOOD!

By Abhishek Y

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Jul 9, 2019

Good.

By litsuki m

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Oct 7, 2018

great

By xuhp

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Sep 14, 2018

great

By Tianyang N

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Aug 28, 2018

Nice!

By Jiang H

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Apr 21, 2018

NICE!

By timothy m

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Nov 4, 2017

great

By Xueshen.Tao

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Feb 23, 2017

great

By Ankit S

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Nov 26, 2024

good

By Ashok K R

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Sep 19, 2024

Nice

By DINESH K

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Oct 13, 2023

good

By Srikanth R

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Sep 5, 2023

Good

By Padala V

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Jun 9, 2023

good

By NGUEKWEMO D N E

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Mar 9, 2023

good

By Nursultan K

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Aug 5, 2022

Nice

By Udey K

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May 4, 2022

nice

By SHASHANK A

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May 3, 2022

good

By Shahida J

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Apr 27, 2022

nice

By Rohan S

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Apr 20, 2022

good

By Akshit S

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Apr 12, 2022

good

By Shaik M

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Jan 25, 2022

good

By Ekila T

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Jan 21, 2022

good

By Rhijisha D

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Aug 12, 2021

Nice