Datacamp – Quantitative Analyst with R 2023-11

Quantitative Analyst with R , In finance, quantitative analysts ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models. you will learn essential data structures such as lists and data frames and have the chance to apply that knowledge to real-world financial examples. By the end of the course, you will be comfortable with the basics of manipulating your data to perform financial analysis in R. Time series are all around us, from server logs to high frequency financial data. Managing and manipulating ordered observations is central to all time series analysis. The xts and zoo packages provide a set of powerful tools to make this task fast and mistake free. In this course, you will learn everything from the basics of xts to advanced tips and tricks for working with time series data in R.

What you’ll learn

• Introduction to R for Finance
• Manipulating Time Series Data with xts and zoo in R
• Importing and Managing Financial Data in R
• Time Series Analysis in R
• ARIMA Models in R
• Forecasting in R
• Visualizing Time Series Data in R
• Introduction to Portfolio Analysis in R
• Bond Valuation and Analysis in R
• Credit Risk Modeling in R
• Quantitative Risk Management in R
• Financial Trading in R

Specificatoin of Quantitative Analyst with R

• Publisher : Datacamp
• Teacher : LORE DIRICK
• Language : English
• Level : All Levels
• Number of Course : 15
• Duration : 65 hours to complete the course

Content of Quantitative Analyst with R

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Introduction to R for Finance

Download – 87 MB

Intermediate R for Finance

Download – 97 MB

Manipulating Time Series Data with xts and zoo in R

Download – 99 MB

Importing and Managing Financial Data in R

Download – 62 MB

Time Series Analysis in R

Download – 112 MB

ARIMA Models in R

Download – 78 MB

Case Study Analyzing City Time Series Data in R

Download – 54 MB

Forecasting in R

Download – 152 MB

Visualizing Time Series Data in R

Download – 62 MB

Introduction to Portfolio Analysis in R

Download – 72 MB

Intermediate Portfolio Analysis in R

Download – 47 MB

Bond Valuation and Analysis in R

Download – 51 MB

Credit Risk Modeling in R

Download – 71 MB

Quantitative Risk Management in R

Download – 73 MB

Financial Trading in R

Download – 117 MB

File size

1.21 GB