Microsoft R Servers for Hadoop, Teradata and Linux — seemingly, the renamed version of Revolution Analytics’ commercial versions of its analytics products — are available to MSDN subscribers. Microsoft quietly made available […]

## Unobserved Component Models in R

Introduction In my last Time Series article, “Components of Time Series Data,” I discussed the trend, seasonal and cyclical components of time series data. Here I will discuss an effective method for […]

## Upcoming edX Courses in Analytics & Data Science

For those looking for free Analytics & Data Science Training, here are some upcoming sessions that may be of interest: Explore Statistics with R (Starts: Self-Paced): Learn basic statistics in a practical, experimental […]

## Running scalable Data Science on Cloud with R and Python

The complexity in data science is increasing by the day. So, why do we need to run data science on cloud? You might raise this question that if a laptop can pack […]

## What R KNIME?

There is absolutely nothing wrong with my grammar, at least in the title. If you do not know what R is, you should probably visit the boutique section on Amazon instead of […]

## How to drive a Web browser with R (and RSelenium)

RSelenium may be one of the least known of R’s most helpful packages. Why is it useful? Just a few lines of code will drive a Web browser for tasks that might […]

## Why R programming language still rules Data Science?

According to the Spectrum Survey by IEEE, R programming language – the king of statistical computing languages for analysing and visualizing big data takes 6 th place in “The 2015 Top Ten […]