YF
Sep 23, 2017
Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!
CC
Jul 28, 2016
This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.
By Medha B
•Oct 9, 2020
Great
By Robert J C
•Jul 25, 2019
Good.
By Adán H
•Oct 5, 2017
Good!
By Rafael L G
•Jun 6, 2017
great
By zhao m
•Nov 1, 2016
good.
By Marco A P N
•Jun 1, 2016
Great
By Yusuf S
•May 19, 2016
great
By Sameeksha
•May 12, 2021
good
By Souvik P
•Aug 5, 2020
good
By Pitak P
•Oct 4, 2019
Good
By Razib A K
•Dec 18, 2018
good
By Ganapathi N K
•Apr 30, 2018
Nice
By Jay B
•Aug 15, 2017
good
By Saurabh G
•Apr 13, 2017
nice
By Larry G
•Feb 7, 2017
Nice
By 刘治
•Jul 17, 2016
good
By Prakash G C
•May 24, 2016
Good
By 朱荣荣
•Mar 9, 2016
good
By 丁雪松
•Jun 15, 2020
💯
By Amit K R
•Nov 21, 2017
ok
By Meidani P
•Dec 3, 2021
-
By Ganesh P
•Nov 28, 2017
V
By Wei W
•Sep 11, 2017
C
By Balinda S
•Dec 11, 2016
T
By Phillip K
•Mar 20, 2018
Good stuff just as I have come to expect from this University and the courses that are part of this Signature Track.
A great deal of the lectures and work on assignments/quizzes/projects was learning and using the various plotting systems in R. Certainly this is important, but to put it into perspective, I spent four hours creating six plots for the final project, when I was able to use Tableau Desktop to create all six plots in under five minutes.
So formally learning the data exploration techniques was good, but expect much of this course to be about learning the R plotting systems.
That said, there is a point in this course (and the first time for all the courses to this point) where the topic suddenly got very, very technical. When clustering techniques were introduced it felt as if you were turned on your head as the focus suddenly went from various ways of plotting data in R to being neck deep in the explanation of clustering techniques that require a great degree of Linear Algebra knowledge.
Don't panic though. While there are questions in the guided assignments that are difficult, you don't really need to recall all of your Linear Algebra courses from college to pass this course. After all, R "has a package for that."