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
22,507 ratings
5,044 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 10, 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 16, 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 .

Filter by:

4601 - 4625 of 4,966 Reviews for Introduction to Data Science in Python

By Viren V S

Jun 07, 2020

Need basics to be cleared before entering this course

By Galen S

Sep 26, 2017

Thought assignments could have been better designed

By Michael T

Dec 27, 2016

To much disconnect between assignments and lectures

By Samuel L

Jun 04, 2020

Please update the course pandas and numpy version!

By 18P917 V R M

Jun 05, 2020

Assignment questions are not clearly communicated

By Bindu G

Aug 22, 2018

assignments are too long and videos are too fast.

By Anna K

Apr 29, 2018

The quality of the testing system is really poor.

By Qinling Y

Oct 02, 2018

The assignments are stimulating and interesting.

By Taha R

Jun 02, 2018

Clear lectures. But assignments need to improve.

By Vinay K V

Jul 16, 2020

Course assignments are bit tough make it easy

By Mohamed A

May 21, 2020

Kinda fast paced and needs more explanation !

By Kondamudi S C

Aug 02, 2020

The instructor taught this course very fast.

By Chen L

Apr 05, 2017

More programming details should be included.

By Pravin A J D

Dec 09, 2018

can be made a bit detailed course on Python

By Maxim P

Jul 14, 2018

less talking more usefull guiding is needed

By Rohit R

Jul 12, 2020

Lecture explanation could have been better

By Jinsuk H

Oct 15, 2017

Good materials but video doesn't help much

By Oleg K

Nov 05, 2018

Compare to Machine Learning from Stanford

By Shraddha K

Mar 02, 2019

More elaborate lectures would help more!

By 丁浩然

Oct 07, 2018

The assignment is a little bit hard....

By Pathan N S

Jun 15, 2020

more practice video need to be added

By Pakin S

Jan 10, 2020

why not have expect output for check

By Venkata S K R C

Dec 05, 2017

Totally not for absolute beginners .

By 李得意

May 17, 2020

Homework is too hard for beginners.

By SAHARSH G

Nov 02, 2019

Should be little more descriptive.