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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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3376 - 3400 of 5,958 Reviews for Introduction to Data Science in Python

By Xiaodong P L

•

Feb 6, 2017

Hard to do

By Carlos J A

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Jan 6, 2017

Fantastic!

By Luis M

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Nov 22, 2016

Very good.

By Lincoln C

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Nov 15, 2016

Very nice!

By zhenyue z

•

Oct 30, 2016

nice class

By Amaya P

•

Nov 10, 2024

excellent

By KUMKUM D

•

Sep 28, 2024

very good

By LESLI R S

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Sep 27, 2024

very good

By Mugagga I

•

Sep 21, 2023

Educative

By Sebastian C C

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Jun 13, 2023

muy bueno

By mohamed e

•

Jun 7, 2023

very good

By Ankush

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Mar 31, 2022

very good

By kartik g

•

Mar 30, 2022

good one

By Rafael R

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Mar 16, 2022

Very good

By Juan J H Á

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Jan 21, 2022

excellent

By Satish R

•

Jan 2, 2022

excellent

By Daniel P P

•

Aug 31, 2021

Muito top

By Maxerom24

•

Jul 28, 2021

Best one.

By Lukáš H

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Mar 20, 2021

very good

By Umar N

•

Feb 28, 2021

very good

By Iqbal U K

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Nov 22, 2020

Good One!

By 32_vaibhav v

•

Oct 5, 2020

excellent

By Octavio D

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Sep 28, 2020

Excelent!

By Vritika M

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Sep 22, 2020

Excellent

By Akhlak A S

•

Sep 20, 2020

THANK YOU