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!
par Fenneken K•
Learned a great deal. Especially on clustering.
The second project could be a little more challenging; I overestimated the answers requested.
par Ishwar N•
Highly recommended course for budding data scientist. I loved the John Hopkins univ pedagogy and peer review system. The content is great.
par Charles K•
Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.
par DONALD J M H•
Excellent course, it has allowed me to learn the bases to explore and analyze data.
Dear teachers thank you for sharing your knowledge
par Roman O B•
Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.
par Diqing F•
The course is interesting and values practicality. The exercises and the projects really helped me a lot in grasping the knowledge!
par Nikodem L•
This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.
par Bhargava B•
This course really helps you to learn the fundamental exploration techniques. The assignments and the examples are really helpful.
par Marat K•
Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful
par Amith H•
A Must have course for beginners in Data Exploration and Analysis. The best part is that exposure to these amazing concepts in R.
par ZAMI K•
If you really want to learn, Coursera is the best option. There is a myriad of options and sources this specialization provide.
par Ted M•
The lectures in this course included theory and examples on PCA and SVD - however this was missing from the practical materials
par Oscar A•
If you want to know how to use plotting systems like ggplot2 and how to explore your raw data, this course is really Useful!!
par Marta R•
Really good course, with amazing videos and examples. I have learned a lot and I think the projects were really interesting.
par Kevin C•
This was an excellent course full of useful exercises, assignments and lectures. I took these classes for the data analysis
basic plotting and getting the feel of data, this course really helped tackling that and seeing perspective in data analysis
par David R•
An extremely interesting course, with many practical applications many of which I've applied in my day to day work already.
par Gaurav B•
Loved it , the K means was pretty difficult for me but others was a breeze as i had experince in ggplots before the course
par Mehrdad T•
EDA is essential part of data analysis and in this course the concept is well covered especially through the assignements.
par Alexander D•
i very much like the course book. The course book helped me most in really learning the material and how to build plots.
par Sherrod B•
Peer reviews of other people's work extremely helpful. Learned more from that than any other part of the course. Thanks.
par Herson P C d M•
Excelente curso, requer bastante empenho, mas para quem é entusiasta do assunto como eu é um excelente ponto de partida.
par Amanyiraho R•
Very exciting, Did you Know that just by exploring your data can help you reduce the list of models you want to try out
par Erdem Y•
There should be more content devoted to SVD . more theory and quiz questions and workouts to emphasize the methodology.
par James E H J•
Great course to learn how to play with data - a good intro to things like Kmeans and hierarchical clustering, as well.