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

4.5
stars
24,665 ratings
5,537 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

SI
Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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4176 - 4200 of 5,482 Reviews for Introduction to Data Science in Python

By Najmeh R

Jun 4, 2017

The videos are not so comprehensive! but by doing exercises, your coding skills will improve.

By Prabhant S

Mar 2, 2017

the content was more focused on just pandas library

couldve included matplotlib and scipy also

By SADU R S R

Jun 27, 2020

To learn the basic level, this type of approaching is very good and it is done user-friendly

By Ashik S

May 2, 2020

Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)

By Dmytro S

Nov 5, 2017

Extremely good, however requires a much more time and patience than specified (estimations).

By Sairaj S

Jul 27, 2020

Good Course but lack of documentation and theory part is less difficult to solve assignment

By Kanav G

Jul 5, 2020

Takes a lot more than the written 16 hours, but overall a good foundation for data cleaning

By Vinicius A d O

May 7, 2020

Some problems in auto-grader make the experience be 90% awsome. Besides that would be 100%.

By Vishal V

May 13, 2019

There is more stress on Data Science aspect. some basics of Python should also be included.

By Yogesh B

Apr 23, 2018

The course is very extensive and challenging , the assignments are too good for a beginner.

By Mani A

Apr 15, 2018

An excellent course except in the last Week in the last video. The material is not obvious.

By Vladimir S

Jun 20, 2017

a very good introductory course for learning pandas and basic data manipulation with python

By HECTOR L O

Feb 14, 2021

This course was awesome. Different and challenging, I learn a lot so, thanks to the team.

By Bimarsha K

May 21, 2020

Lectures are shor but effective. The assignments and projects helps more in self learning.

By Md. A H

May 8, 2020

Very useful course who are interested in Data Science. This is gonna be a very good start.

By Nathalie P

May 3, 2020

Muy buen curso! Se torna difícil si no tienes bases de programación! En general muy bueno!

By Bhanu P B

Nov 15, 2019

It is very well structured, but it could be better. The lecture went in a very fast phase.

By Rajdeep G

Mar 18, 2018

Good introduction to Python and Pandas. Well-crafted exercises to build skills with Pandas

By Andreas A

Jul 3, 2021

Advanced assignments. If you are a beginner you will definetly struggle to complete them.

By Sichong S

Jun 1, 2021

the comments on the assignment with mistake should be more readable, others are all good.

By Winston H

Jun 6, 2020

This course is very challanging. But when you got the certificate you also imporve a lot.

By Prajwal W

May 25, 2020

You have to read many topics from outside the course material to complete the assignments

By Javi

May 8, 2020

Course contents great. Autograder and notebook not so good as pandas version is outdated.

By Daniel H

Feb 22, 2019

Great Introduction course into Python+Data Science. A lot practical tips and resources.

By Haytham G

Jun 22, 2020

more elaboration on the videos would be great, coz the 2nd and 3rd assignments are hard.