Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan
About the Course
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 an...
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
HC
May 4, 2018
It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.
3526 - 3550 of 5,968 Reviews for Introduction to Data Science in Python
By rohit K
•Sep 23, 2020
great
By KUMMARI V V
•Sep 4, 2020
Great
By suttaphap
•Aug 22, 2020
great
By juan c l g
•Aug 8, 2020
great
By PRANDEEP K
•Jul 4, 2020
great
By Benjamin N
•Jun 18, 2020
Great
By SAAIL G G
•Jun 16, 2020
Great
By Raghav G
•May 27, 2020
great
By Ashwin P
•May 24, 2020
Great
By Umang S
•Dec 29, 2019
goood
By Shitao L
•Dec 9, 2019
GOOD!
By Abhishek Y
•Jul 9, 2019
Good.
By litsuki m
•Oct 7, 2018
great
By xuhp
•Sep 14, 2018
great
By Tianyang N
•Aug 28, 2018
Nice!
By Jiang H
•Apr 21, 2018
NICE!
By timothy m
•Nov 5, 2017
great
By Xueshen.Tao
•Feb 23, 2017
great
By Ankit S
•Nov 26, 2024
good
By Ashok K R
•Sep 19, 2024
Nice
By DINESH K
•Oct 13, 2023
good
By Srikanth R
•Sep 5, 2023
Good
By Padala V
•Jun 9, 2023
good
By NGUEKWEMO D N E
•Mar 9, 2023
good
By Nursultan K
•Aug 5, 2022
Nice