Introduction to R for Finance培训

课程编码

rintrofinance

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

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

课程概览

R是金融行业中流行的编程语言。它用于从核心交易程序到风险管理系统的金融应用程序。

在这个以讲师为主导的现场培训中,参与者将学习R编程的基础知识,因为他们使用财务示例在R中编写代码。

在培训结束时,参与者将能够:

  • 了解R编程的基础知识
  • 使用R来操纵其数据以执行基本的财务操作

听众

  • 程序员
  • Finance专业人士
  • IT专业人士

课程形式

  • 部分讲座,部分讨论,练习和繁重的实践练习

Machine Translated

课程大纲

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
  • Creating Your First data.frame()
  • 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
  • Adding New Columns
  • 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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