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:

3551 - 3575 of 5,978 Reviews for Introduction to Data Science in Python

By Padala V

•

Jun 9, 2023

good

By NGUEKWEMO D N E

•

Mar 9, 2023

good

By Nursultan K

•

Aug 5, 2022

Nice

By Udey K

•

May 4, 2022

nice

By SHASHANK A

•

May 3, 2022

good

By Shahida J

•

Apr 27, 2022

nice

By Rohan S

•

Apr 20, 2022

good

By Akshit S

•

Apr 12, 2022

good

By Shaik M

•

Jan 25, 2022

good

By Ekila T

•

Jan 21, 2022

good

By Rhijisha D

•

Aug 12, 2021

Nice

By DURGA R

•

Aug 12, 2021

Nice

By Paliviri V K

•

Jul 29, 2021

Nice

By BODAKUNTLA D C

•

Jul 20, 2021

nice

By Abdul R A

•

Jun 29, 2021

best

By Prabhat P

•

May 30, 2021

Best

By tuấn p q

•

Apr 16, 2021

Good

By Breno N T

•

Mar 5, 2021

nice

By Ghulam H

•

Jan 29, 2021

good

By zhihao l

•

Jan 7, 2021

good

By AK S

•

Sep 27, 2020

nice

By SHREYASHI D

•

Sep 3, 2020

good

By miguel s

•

Aug 24, 2020

nice

By Srirup L

•

Jul 26, 2020

best

By RAGHUVEER S D

•

Jul 25, 2020

good