While browsing the web in search of supporting material for the “Statistical Inference” course on Coursera, I ended up on this link, which proposed an interactive simulation of the Central Limit Theorem for Means. It works well, it is a nice piece of work. I decided to have a look at the code, since in …
This MOOC is conceptually one of the most interesting ones that I have taken to date. It is based around the implementation of the concept of “Literate Programming”, introduced by Donald Knuth in his 1992 book, in which basically a system where documentation and “live” source code are presented in the same document. In the …
At this moment I am following two similar MOOCs, one on Coursera (Exploratory Data Analysis, part of the Johns Hopkins Data Science Specialization) and one on Udacity (Data Analysis with R, part of the their Data Analyst Nanodegree). At first glance, the two should deal with roughly the same subject, however I would rather say …
I was using my own article “A R kernel in IPython notebook: Jupyter“, to install both Jupyter and the IRKernel on a small ASUS Eee PC Seashell 12” laptop that I use when we are on holidays. This runs Kubuntu, as most of the PCs in my household. Unfortunately the instructions I provided in July …
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 …
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 …
After having become familiar with Ipython and its notebook mode (thanks to the MOOC Python pour les Scientifiques) , which allows to use the python language in an interactive and online way through a web browser, the familiarization with the R language through a more traditional (even if advanced) IDE like RStudio looks honestly like …