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

4.5
stars
27,125 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

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.

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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4851 - 4875 of 5,963 Reviews for Introduction to Data Science in Python

By Mitchell J

•

Apr 27, 2017

Good course to get you thinking about python

By Mary

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Apr 21, 2017

Good course the assignments were challenging

By Nipun K

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Jul 8, 2023

Great Course with minimum number of modules

By Aditya R S

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Jul 13, 2020

A bit overboard but practically well built!

By Jayabharathi

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Jun 20, 2020

really useful for this lockdown situation..

By Sudipta R

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May 24, 2020

It's a perfect course to beginning with ML.

By karim m s E

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May 14, 2018

something amazing to explore the Data world

By REJANO , S C (

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Dec 26, 2020

Some supplemental files lack some details.

By CHAKRAVARTHULA A

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Sep 14, 2020

Tough for beginners, but hardwork pays off

By Ashutosh R

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Jul 24, 2020

It was nice platform to learn data science

By Kokul R

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Jun 25, 2020

It's more self-learning. can practice more

By Siddhant M

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May 10, 2020

try to explain more in the course material

By Ehtisham S

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Mar 11, 2020

write python code in easiest possible way.

By Willian R S

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Aug 11, 2019

Poderia ter mais exercícios para praticar.

By PREDEEP K

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Oct 30, 2018

Assignments gives more practical knowledge

By ayush k

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Jun 22, 2018

amazing course and great deal of knowledge

By Siddakka S

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Jan 9, 2021

I enjoyed the course and its very useful.

By Agamjot S R

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Jul 10, 2020

good course, helps in enhancing knowledge

By Ansita A P

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Jul 5, 2020

It was nice to learn from here, Thankyou.

By JAYDEEP B

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Mar 19, 2018

Too Tough for the assignments to complete

By Harshavardhan R

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Nov 3, 2016

Great pace for intermediate level people.

By RAMYA D K T

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Sep 26, 2020

Learnt a lot .It is useful for my career

By santanu b

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May 27, 2020

Explanations are too less in each module

By Bipin Y

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Apr 16, 2020

The questions were harder than expected.

By Andreas H

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Mar 29, 2020

Translation into german would be helpful