I have a new idol. When I discovered this web site, thanks to the referral in the “Getting and Cleaning Data” MOOC on Coursera, little did I know about the gapminder.org web site, about Professor Hans Rosling from Sweden and his work as a Statistician and Global Health expert. But what really is gapminder.org? In …
I was on a discussion forum connected to the “Getting and Cleaning Data” MOOC on Coursera. During the peer evaluation of the course’s project, one question puzzled me and I wanted to get some clues. The question is in no way related to the content of the project or the course, so I feel free …
After the MOOC “Data Visualization”, I joined a discussion on “What MOOC are you going to take next”. A participant to the discussion mentioned the MIT’s “The Analytics Edge” course, on edx.org, as being one of the nicest he had taken. The name was intriguing, the description too. I decided to have a look. Dates: …
I just completed the Coursera MOOC “R Programming” by Johns Hopkins University and on which I already have written about in another recent post. I have put together some thoughts on this course while responding to a question on the courses’ forums. The question was: “How do I master R Programming. My answer: If you …
R Programming is the second course in the Data Science Specialization offered by the Johns Hopkins University on Coursera. At the end of the Data Visualization Course, discussing with other fellow MOOCers on the “Your next MOOC” thread, I was expressing the wish to take this course. Many people who had done it stated that …
Prof. Charles Redmond has produced a series of short courses on the udemy.com platform. The courses follow the principle of being finalized to a specific task, and the tasks, in the first three courses of the series, follow logically from each other. These first three courses are: R, GGPlot and Simple Linear Regression R, GGPlot …
When producing a plot using Python and matplotlib for publishing purposes, or to submit it as part of a report or for any professional use, some questions come to mind that not usually explained in one easy to retrieve place. True, everything is in the matplotlib documentation or can be easily found on stackoverflow. But …
A few days ago I was discussing on the Coursera forums what course to take next. Since I am interested in the Data Science path from Johns Hopkins, and a few of these courses have heavy roots into statistics, somebody suggested to me to have a look at Openintro Statistics. OpenIntro Statistics edition 3 is …
Another MOOC/Learning platform has interesting offerings for Data Science. This is Udacity, with their Data Analyst Nanodegree program. The courses are not free and the cost of the program seems to be higher than those proposed by Coursera, and are based on a monthly fee. However some of the preparation courses that are part of …
The Data Visualization MOCC started on Coursera on July 20 2015. This course is part of the Data Mining Specialization of the University of Illinois Urbana-Champaign. The course is taught by Prof. John C. Hart and it is not centred on programming, although this is not discouraged. Several resources and references are presented throughout the …