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 David S•
Great Course. Lectures did diverge from Quizes and projects but still was good practice of looking at a set of data and reporting out from it.
By Fenneken K•
Learned a great deal. Especially on clustering.
The second project could be a little more challenging; I overestimated the answers requested.
By Ishwar N•
Highly recommended course for budding data scientist. I loved the John Hopkins univ pedagogy and peer review system. The content is great.
By Charles K•
Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.
By 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
By 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.
By Diqing F•
The course is interesting and values practicality. The exercises and the projects really helped me a lot in grasping the knowledge!
By Nikodem L•
This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.
By Bhargava B•
This course really helps you to learn the fundamental exploration techniques. The assignments and the examples are really helpful.
By Marat K•
Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful
By Amith c•
A Must have course for beginners in Data Exploration and Analysis. The best part is that exposure to these amazing concepts in R.
By ZAMI K•
If you really want to learn, Coursera is the best option. There is a myriad of options and sources this specialization provide.
By Ted M•
The lectures in this course included theory and examples on PCA and SVD - however this was missing from the practical materials
By 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!!
By Marta R•
Really good course, with amazing videos and examples. I have learned a lot and I think the projects were really interesting.
By 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
By David R•
An extremely interesting course, with many practical applications many of which I've applied in my day to day work already.
By 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
By Mehrdad T•
EDA is essential part of data analysis and in this course the concept is well covered especially through the assignements.
By 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.
By Sherrod B•
Peer reviews of other people's work extremely helpful. Learned more from that than any other part of the course. Thanks.
By 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.
By 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
By Erdem Y•
There should be more content devoted to SVD . more theory and quiz questions and workouts to emphasize the methodology.