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1. Introduction

   Setting up the IDE (Integrated Development Environment)

   RStudio
   R Programming Fundamentals

   R objects: vectors, matrices, arrays, data frames and lists
   Flow control: branching, looping and truth testing
   Accessing Data with R

   Reading and writing CSV data
   Accessing data in an SQL database
   Visualizing Data with R

   Plotting with R
   Analyzing Data with R

   Manipulating data frames
   Descriptive statistics
   Inference and Time Series Analysis

   Analyzing time series data in financial markets
   Volatility modeling for high frequency financial data
   Simulating Asset Price Trajectories

   Monte Carlo simulation
   Asset Allocation and Portfolio Optimization

   Performing capital allocation, asset allocation, and risk assessment
   Regression analysis
   Risk Analysis and Investment Performance

   Defining and solving portfolio optimization problems
   VaR and ES
   Fixed-Income Analysis and Option Pricing

   Performing fixed-income analysis and option pricing
   Taking Your R Application into Production

   Integrating your application with Excel and other web applications
   Application Performance

   Optimizing your application
   R multiprocessing
   Troubleshooting

   Closing Remarks