When learning about Data Science, one of the first dilemmas that come to mind is whether to start with Python or R. As a Software developer, I felt I have a natural inclination towards Python, a very elegant programming language that can also be used to do Data Science. But as I got more and …
I was looking for some references and examples in the scope of the “Regression Models” course on Coursera. Something structured that could bridge the gaps in my R knowledge (and they are many) and something that could provide me with a list of case studies. I have already bought a book on this, it is …
One thing about learning is that the more you learn the more you feel ignorant about the subject you are trying to learn about. Sometimes you would like to see a particular aspect treated or explained in a different way. Some other times you would like to have an example. The net gives a big …
I have played a bit with shiny. The RStudio folks provides the possibility of deploying R “Shiny” applications on their server. The final result which will look a lot like this: https://<YourAccount>.shinyapps.io/<YourApp>. There are several plans for this type of deployment, including one that allows you to deploy up to 5 applications for free. You …
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 …
Ok, this is not Data Science. This is just for fun. I have to admit, I tend to mix up things. Here I am mixing up the German class I am taking with one of the visualizations that I prefer, the wordcloud. Not because it conveys a message about data, in this case is just …
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 …
“Getting and Cleaning Data” is the third course of the “Data Science Specialization” from Johns Hopkins Bloomberg School of Public Health on Coursera, was the first of this series of course where some connection to some of the Data Scientist’s real tasks can be found. I imagine that the data collected on the fields in …