 Hi, I am Vinayak Higre. I am a hacker who has been writing system software for more than a decade. I have programmed a bunch of languages and written production systems on them. Examples include a distributed system that turns over 100 across 100 plus data centers across the world. I was an architect for big data system which is now running across multiple data centers across the world. That was built for the mobile ad network in Mobi which handles hundreds of terabytes of data. Well, that's about me. Now on to speaking. I am going to speak about hands-on workshop that I am doing. So I am going to talk and code in R. So a little bit about R. R is a free software programming language and software environment for statistical computing graphics. The R language is widely used among statisticians and computer scientists and data miners for developing statistical software and for data analysis. R is a multi-paradigm language where you can do procedural programming like C or object oriented programming like Java. It also has some functional features where you can do automatic looping and iteration over data structures very similar to functional languages. It's getting to become popular. Pulse and surveys of data miners show that R's popularity has increased substantially in the last few years. R has been used to create really, really good graphics by the New York Times, the Washington Post and other leading newspaper. Not just that. It's also used in a variety of disciplines such as meteorology, particle physics, epidemiology, biostatistics and pretty much everything in between. It is also used in financial analysis and other social sciences that rely on data to make their case. So now a little bit about the workshop. So we are going to use RStudio to explore different public data sets and build a web app in R. We'll start with data structures in R and how the basic iteration and looping works. R can read from a variety of data sources such as Excel files, databases, the Hadoop file system, HDFS, CSC files, XML files and also from HTML tables on the web. So we'll start reading data from these sources, transforming and analyzing them using the different packages that are there. The packages that we are going to explore, some examples of them are Playa, Lattice, Reshape2, etc. We'll also see how to quickly find anomalies and outliers in data using the ggplot package which is an excellent package for doing plotting and graphing of data. We'll also be building a small web app using the Shiny package and at the end of the workshop we'll also see how to integrate R with other languages such as C++ and other systems such as Hadoop. So that's what we are going to do in the workshop. At the end of the workshop you'll have a good feel for R and will be able to start exploring data and navigate the R ecosystem by yourself. Thank you and see you at the workshop.