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

4.5
stars
27,081 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

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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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3451 - 3475 of 5,951 Reviews for Introduction to Data Science in Python

By Hassan I K

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Jan 2, 2020

A

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By KALAW, K M (

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Oct 11, 2019

its good

By Abhishek G

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Oct 4, 2019

good one

By KRISHNA S B

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Jan 30, 2019

Awesome.

By Kumar A

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Aug 27, 2018

Awesome!

By Anand N

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Jul 9, 2018

Its good

By Zhang Q

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Jun 5, 2018

老师讲得太棒了！

By Mattias L

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Nov 16, 2017

You rock

By Rizwan J

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Jun 30, 2017

Awesome.

By Shashiranjan K

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Nov 15, 2024

amaging

By Julian S E

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May 15, 2024

So good

By Victor A P G

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Jun 30, 2023

Perfect

By Hamza S

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Mar 19, 2023

Amazing

By Jaswanth J

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May 26, 2022

awesome

By Sahasrabda G (

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May 7, 2022

amazing

By BISHAL A

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Nov 27, 2021

awesome

By Frank L

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Aug 8, 2021

Thanks!

By KESANA J

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May 30, 2021

great!!

By たかかた

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Mar 27, 2021

amazing

By Ricardo I P U

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Mar 3, 2021

top++++

By MUKAMURANGWA E

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Dec 17, 2020

4444445

By RAJU S

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Aug 24, 2020

so good

By Bhosale Y H

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Jul 14, 2020

Awesome

By Pavan H

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Jun 21, 2020

PERFECT

By Abhimanyu .

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Jun 18, 2020

amazing