This talk contains two sections predominantly - 1st explaining what’s all (non-obvious) that are possible with R and 2nd, How well-known organizations are using R in their company. R is one of the most popular programming languages preferred in Data Science / Analytics.

HR analytics is a broad domain and attrition is one big problem in it. It is difficult for any organization to retain talented employee for long run in current competitive world. Effective attrition model can help in it. Modern techniques such as Machine learning or Deep learning can be utilize to predict employee's behavior.

Language Wars have always been there for ages and it's got a new candidate with Data science booming - R vs Python. While the fans are fighting R vs Python, the creators (Hadley Wickham (Chief DS @ RStudio) and Wes McKinney (Creator of Pandas Project)) are working together as Ursa Labs team to create open source data science tools. A similar effort by RStudio has given birth to Reticulate (R Interface to Python) that helps programmers combine R and Python in the same code, session and project and create a new kind of super hero.

R programming is one of the most popular programming languages used in Data Science. Known for its simplicity and easy to take off working environment, R has been the language of choice of many non-programmers and its Rich ecosystem enables it to perform variety of Data Science related tasks. The objective of this workshop is to help you get started with R for you to move forward with your Data Science journey. As we are moving into the world of language-agnostic developers, Even if you know a language already, knowing another extra programming language like R would add an extra feather to your cap.

One of the beautiful gifts that R has got (that Python misses) is the package – Shiny. Shiny is an R package that makes it easy to build interactive web apps straight from R. This session will help you build ML solutions and Dashboards as web apps using R Shiny.