Download Datacamp – Quantitative Analyst with R 2023-11

Description

Quantitative Analyst with R, the R training course for quantitative analysts is published by Datacamp Academy. In finance, quantitative analysts ensure that portfolios are balanced, help find new business opportunities, and evaluate asset prices using mathematical models. You will learn essential data structures such as lists and data frames, and you will have the chance to apply this knowledge to real-world financial examples.

Time series are all around us, from server logs to high-frequency financial data. The management and manipulation of regular observations is important for all time series analyses. The xts and zoo packages provide a set of powerful tools to do this quickly and without mistakes. 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 will learn

• R for finance
• Manipulating time series data with xts and zoo in R
• Entering and managing financial data in R
• Time series analysis in R
• ARIMA models in R
• Prediction in R
• Time series data visualization in R
• Portfolio analysis in R
• Band evaluation and analysis in R
• Credit risk modeling in R
• Quantitative risk management in R
• Tried

Specifications of Quantitative Analyst with R course

• Publisher: Datacamp
• teacher : LORE DIRICK
• English language
• Education level: all levels
• Number of courses: 15
• Training duration: 65 hours to complete the course

Chapters of the Quantitative Analyst with R course

Pictures

Sample video

Installation guide

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English subtitle

Quality: 720p

download link

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(s) password: www.downloadly.ir

Size

1.21 GB