Chevron Left
Back to Introduction to Data Science in Python

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

4.5
stars
27,207 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

TG

Apr 13, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

Filter by:

4876 - 4900 of 5,978 Reviews for Introduction to Data Science in Python

By Ansita A P

ā€¢

Jul 6, 2020

It was nice to learn from here, Thankyou.

By JAYDEEP B

ā€¢

Mar 19, 2018

Too Tough for the assignments to complete

By Harshavardhan R

ā€¢

Nov 3, 2016

Great pace for intermediate level people.

By RAMYA D K T

ā€¢

Sep 27, 2020

Learnt a lot .It is useful for my career

By santanu b

ā€¢

May 27, 2020

Explanations are too less in each module

By Bipin Y

ā€¢

Apr 16, 2020

The questions were harder than expected.

By Andreas H

ā€¢

Mar 29, 2020

Translation into german would be helpful

By Mengjie

ā€¢

Mar 22, 2020

a little difficult for meļ¼Œbut gain a lot

By Dr. D S A

ā€¢

Dec 13, 2019

The Assignments are little bit difficult

By Chethan L

ā€¢

May 27, 2019

Course content is excellent and helpful.

By Zhong H

ā€¢

Nov 21, 2017

Basic information about numpy and pandas

By Devashish N

ā€¢

Feb 12, 2017

Nice course for understanding the basics

By Sean M D C S

ā€¢

Jan 4, 2021

Very good course with great instructors

By NIKKETHAN R

ā€¢

Jul 3, 2020

Excellent course and somewhat difficult

By Daniel M

ā€¢

Jun 5, 2020

Very strong base. Difficult assignments

By mrunal a

ā€¢

Jun 4, 2020

amazing knowledge about numpy and panda

By Prince M K

ā€¢

May 25, 2020

The pace was of the course was too fast

By Sanchita S

ā€¢

May 10, 2020

For A beginner ,it was a great course !

By June L

ā€¢

May 9, 2019

It is good but also very very difficult

By Howard Z

ā€¢

Mar 14, 2019

A lot of information but extremely hard

By Youri D

ā€¢

Jan 29, 2017

It was very hard but extremly learnful.

By Weizhi L

ā€¢

Sep 6, 2020

The skills I learned are quite useful.

By Sathyanarayana V

ā€¢

May 9, 2020

The online platform has trouble saving

By Narendhra G

ā€¢

May 5, 2020

Thanks for the giving good stuff to me

By Kevin D

ā€¢

May 18, 2018

Challenging and worthwhile for a MOOC.