Learn the basic data types and how to use them in R. Learn the basic data structures in R and how to convert between them. Learn how to implement basic logic for controlling the output of the program. Learn how to write functions to perform certain modular tasks. Learn the rules for variable scoping in R. Learn how to write more efficient code making use of vectorization.

Objectives for this session Learn the basic data types and how to use them in R. This session shall cover the basics of programming in R. - Learn the basic data structures in R and how to convert between them. - Learn how to implement basic logic for controlling the output of the program. - Learn how to write functions to perform certain modular tasks. - Learn the rules for variable scoping in R. - Learn how to write more efficient code making use of vectorization.

How do quant-traders extract financial market data, including crypto-currencies, and alternative data for algotrading? - We’ll show how R can be used for data extraction, time series visualization and analysis. How can social-media be analyzed? - We’ll show how R can be used to extract and analyze Donald Trump’s tweets and visualize his favorite words. How do Silicon Valley data scientists build data apps? - We’ll showcase R’s Shiny, a tool for Interactive data visualizations and mobile app prototyping. How do marketing analysts visualize their datasets? - We’ll show how marketing data can be easily combined with unsupervised learning to create insightful plots in R.

Does regularization reduce the variance of the estimator?

checking basic properties