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

4.5
stars
26,915 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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3401 - 3425 of 5,918 Reviews for Introduction to Data Science in Python

By Abdessamad Z

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Nov 15, 2019

excellent

By Patneedi V V P L

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Oct 13, 2019

Excellent

By Dr. U R

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Oct 10, 2019

Very good

By DEILSON M D S

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Sep 15, 2019

Excellent

By Sudheer K

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Jun 4, 2019

Excellent

By Марчевский В Д

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Apr 25, 2019

Good one!

By Bhavani K P

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Mar 15, 2019

Excellent

By shafiulla s

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Dec 20, 2018

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By Daniel R

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Nov 11, 2018

fantastic

By Indra W

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Jul 17, 2018

Very good

By Kumar P

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Jun 11, 2018

excellent

By Sylvain D

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Feb 23, 2018

Very good

By Piyush K

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Jan 10, 2018

wonderful

By Ricardo D S

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Nov 11, 2017

Muy Bueno

By Murali M K D

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Jul 15, 2017

Excellent

By Raju v

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May 17, 2017

very good

By Oren H

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Apr 7, 2017

very nice

By Sergei G

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Dec 15, 2016

Worth it!

By SERHAT G

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Apr 10, 2024

Amazing!

By Joel E

•

May 27, 2022

Lo MEJOR

By Suparna K

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Jan 3, 2022

Loved it

By Soumya C

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Jul 12, 2021

too good

By Yechan K

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Jan 22, 2021

Amazing!

By Deleted A

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Aug 5, 2020

Amazing!

By Emre K

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Jun 18, 2020

Awesome!