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

4.5
stars
23,672 ratings
5,316 reviews

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

AU
Dec 9, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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4276 - 4300 of 5,235 Reviews for Introduction to Data Science in Python

By Rich L

Sep 26, 2018

Great introduction but a bit vague at points

By Mitchell J

Apr 27, 2017

Good course to get you thinking about python

By Mary

Apr 22, 2017

Good course the assignments were challenging

By Aditya R S

Jul 14, 2020

A bit overboard but practically well built!

By Jayabharathi

Jun 20, 2020

really useful for this lockdown situation..

By Sudipta R

May 24, 2020

It's a perfect course to beginning with ML.

By karim m s E

May 14, 2018

something amazing to explore the Data world

By REJANO , S C (

Dec 26, 2020

Some supplemental files lack some details.

By CHAKRAVARTHULA A

Sep 14, 2020

Tough for beginners, but hardwork pays off

By Ashutosh R

Jul 24, 2020

It was nice platform to learn data science

By Kokularaj B

Jun 25, 2020

It's more self-learning. can practice more

By Siddhant M

May 10, 2020

try to explain more in the course material

By Ehtisham S

Mar 11, 2020

write python code in easiest possible way.

By Willian R S

Aug 11, 2019

Poderia ter mais exercícios para praticar.

By PREDEEP K

Oct 30, 2018

Assignments gives more practical knowledge

By ayush k

Jun 22, 2018

amazing course and great deal of knowledge

By Siddakka S

Jan 9, 2021

I enjoyed the course and its very useful.

By Agamjot S R

Jul 10, 2020

good course, helps in enhancing knowledge

By Ansita A P

Jul 6, 2020

It was nice to learn from here, Thankyou.

By JAYDEEP B

Mar 19, 2018

Too Tough for the assignments to complete

By Harshavardhan R

Nov 3, 2016

Great pace for intermediate level people.

By RAMYA D K T

Sep 27, 2020

Learnt a lot .It is useful for my career

By Santanu B

May 27, 2020

Explanations are too less in each module

By Bipin Y

Apr 16, 2020

The questions were harder than expected.

By Andreas H

Mar 29, 2020

Translation into german would be helpful