# Introduction to R for Finance Training Course

rintrofinance

## Duration

21 hours (usually 3 days including breaks)

## Requirements

• A basic understanding of finance concepts
• A solid grasp of mathematics
• Basic programming experience

## Overview

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the fundamentals of R programming as they walk through coding in R using financial examples.

By the end of this training, participants will be able to:

• Understand the basics of R programming
• Use R to manipulate their data to perform basic financial operations

Audience

• Programmers
• Finance professionals
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

## Course Outline

Introduction

Getting Started with R

• Overview of R
• Why Use R in Finance?
• Setting up the R Working Environment
• Installing RStudio
• Running R

Learning the Basics of R Programming

• Overview of R Programming Fundamental Concepts
• Vectors
• Matrices
• Arrays
• Data Frames
• Factors
• Lists
• Implementing Your First R Script: Basic Arithmetic with R
• Assigning Values to Variables in R
• Understanding Financial Returns
• Implementing Financial Returns Calculations on R
• Listing Objects in R
• Understanding Object Data Types and Storage Modes in R
• Understanding Object Classes

Using Vectors

• Using the c() (Combine) Function to Create Vecors
• Using Vector names()
• Visualizing Vectors
• Vector Operations
• Indexing Vectors
• Subsetting Vectors
• Stock Prices Example: Calculating Weighted Averages Using Vectors

Using Matrices

• Creating a Matrix
• Binding Vectors to Form Matrices
• Visualizing Matrices
• Using the cor() (Correlation) Function
• Subsetting Matrices

Using Data Frames

• Overview of Data Frames
• The Contents of a Data Frame
• Using the head(), tail(), and str() (Structure) Functions
• Using Row and Column Names
• Manipulating Data Frames
• Accessing Data Frames
• Subsetting Data Frames
• Understanding Present Value in Finance
• Calculating the Present Value of Projected Cash Flows Using R

Using Factors

• Overview of Factors
• Creating a Factor
• Implementing Factor Levels
• Using the Factor Summary Function
• Visualizing Factors
• Bond Credit Ratings Example: Creating a Factor from a Numeric Vector
• Ordering Factors
• Subsetting Factors
• Using Strings as Factors

Using Lists

• Overview of Lists
• Creating a List
• Implementing Named Lists
• Accessing List Elements
• Adding Elements to a List
• Removing Elements from a List
• Creating Lists Using Functions
• Splitting a List
• Stocks Portfolio Example: Implementing Split-Apply-Combine to Your List
• Using Attributes

Troubleshooting

Summary and Conclusion

Closing Remarks

★★★★★
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