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

4.5
stars
27,154 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 10, 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 4, 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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3001 - 3025 of 5,968 Reviews for Introduction to Data Science in Python

By Venelin K

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Aug 20, 2019

Really good course

By Om P

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Jul 6, 2019

Thank you so much!

By Vincent v B

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Jun 27, 2019

It's hard but fun!

By Light0617

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May 6, 2019

useful exercise!!!

By Adriana E C J

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Mar 11, 2019

Excellence course.

By MANURANJAN G

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Feb 4, 2019

Enjoyed the course

By Syed D H

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Dec 10, 2018

Best Course ever!!

By Freison A C S

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Dec 7, 2018

Pretty good course

By Sunain M

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Aug 16, 2018

Very Good learning

By Gal S

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May 30, 2018

Great intro course

By Aadhunik S

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Apr 7, 2018

Challenging course

By Armand L

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Feb 11, 2018

Very good Course !

By Ghiat M

•

Jan 17, 2018

So far, it is very

By David K

•

Sep 3, 2017

Loved this course.

By 王玉龙

•

Aug 27, 2017

easy to understand

By Игорь П

•

Jun 11, 2017

magnificent course

By 선우 장

•

Mar 30, 2017

Very good lecture.

By Marek B

•

Nov 28, 2016

great intro course

By Noemi M B

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Nov 1, 2022

Ótimo, recomendo.

By Radek M

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Aug 9, 2022

Fantastic course

By Md K A

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Apr 12, 2022

Great Experiance

By John L N

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Jan 21, 2022

Many Take Aways!

By Daksh K (

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Sep 9, 2021

very good teacher

By Gabriela Y

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Aug 9, 2021

Love this course!

By Tyou R

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Mar 15, 2021

excellent course!