Jul 29, 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.
Sep 24, 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!
par Diqing F•
Aug 23, 2017
The course is interesting and values practicality. The exercises and the projects really helped me a lot in grasping the knowledge!
par Nikodem L•
Feb 09, 2016
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•
Apr 02, 2018
This course really helps you to learn the fundamental exploration techniques. The assignments and the examples are really helpful.
par Marat K•
Dec 02, 2017
Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful
par Amith c•
Feb 09, 2016
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•
Apr 21, 2020
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•
Oct 05, 2016
The lectures in this course included theory and examples on PCA and SVD - however this was missing from the practical materials
par Oscar A•
Aug 21, 2020
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•
Jun 28, 2019
Really good course, with amazing videos and examples. I have learned a lot and I think the projects were really interesting.
par Kevin C•
Mar 29, 2016
This was an excellent course full of useful exercises, assignments and lectures. I took these classes for the data analysis
Feb 13, 2016
basic plotting and getting the feel of data, this course really helped tackling that and seeing perspective in data analysis
par David R•
Oct 22, 2018
An extremely interesting course, with many practical applications many of which I've applied in my day to day work already.
par Gaurav B•
Sep 16, 2018
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•
Sep 09, 2017
EDA is essential part of data analysis and in this course the concept is well covered especially through the assignements.
par Alexander D•
Nov 04, 2019
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•
Aug 11, 2017
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•
Jan 05, 2017
Excelente curso, requer bastante empenho, mas para quem é entusiasta do assunto como eu é um excelente ponto de partida.
par Amanyiraho R•
Jan 13, 2020
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•
Jun 13, 2017
There should be more content devoted to SVD . more theory and quiz questions and workouts to emphasize the methodology.
par James E H J•
Jan 30, 2019
Great course to learn how to play with data - a good intro to things like Kmeans and hierarchical clustering, as well.
par Avinash A•
Aug 30, 2017
Nice content. Make sure to take the SWIRL course offered. That really helps to get a hold on the course. Recommended!
par Do H L•
May 18, 2016
This course is really awesome!
Highly recommend. You'll learn all the data visualization techniques in this course.
par Anthony S•
Feb 14, 2017
I really learned a lot in this class. I plan on going over the materials as well as taking one of the next courses
par William G C•
Jan 20, 2017
This is a great course! I really enjoy the pace. Plus, the real world application isn't a bad thing at all either!
par Yergali B•
Mar 16, 2016
I strongly suggest for future Data scientist, if you know R language with making Plots, you can be a good analytic