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.
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!
By Robert J C•
By Adán H•
By Rafael L G•
By zhao m•
By Marco A P N•
By Yusuf S•
By Sameeksha S•
By Souvik P•
By Pitak P•
By Razib A K•
By Ganapathi N K•
By Jay B•
By Saurabh G•
By Larry G•
By Prakash M S G C•
By Amit K R•
By Ganesh P•
By Wei W•
By Balinda S•
By Phillip K•
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."
By Ruggero B•
My congratulations to all those people who worked to create this course although I have to pick up something I've found a bit annoying:
1- there were two video where the audio were nearly unintelligible
2- I would link the link proposed by the video to be possible to be clicked
3- Some exposition imperfection (even if they make these video more "real and human")
4- Since quiz are not so difficult to be evaluated automatically I found it a bit annoying to notice them locked by not-purchsing, even if I understand there have to be something which would make the customer to purchase.
I've found the swirl experience great although a bit annoying sometimes but I've no clue on how to possibly improve it so.
Keep up with this great work!
By Jamison C•
You'll learn some cool things like K-means clustering and creating dendrograms, as well as dimension-reduction techniques. The assignments are very easy if you have basic familiarity with R's base plotting system and the "ggplot2" package. I will say I'm very happy with this course in the overviews of R's major plotting systems (though no "ggvis" package), as well as working with color palettes. However, I wish there was more hands-on or peer-graded practice with K-means, heatmaps, dendrograms, and dimension reduction techniques like Singular Value Decomposition (SVD). If these are new to you (they were to me!), you'll certainly walk away from the course more knowledgeable.