Descriptions
Quantitative Analyst with R, In In finance, quantitative analysts ensure that portfolios are risk balanced, help find new trading opportunities and evaluate asset prices using mathematical models. jyou will Learn essential data structures such as lists and data frames and have the opportunity to apply this knowledge to real-world financial examples. By the end of the course, you will be familiar with the fundamentals of data manipulation to perform financial analysis in R. Time series Are all all around us, from server logs to high-frequency financial data. Managing and manipulating ordered observations is central to any time series analysis. The xts and zoo packages provide a set of powerful tools to accomplish this task quickly and flawlessly. 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
- 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
- Prediction in R
- Visualizing time series data in R
- Introduction to portfolio analysis in R
- Bond valuation and analysis in R
- Credit risk modelling in R
- Quantitative risk management in R
- Financial trading in R
Specification of the quantitative analyst with R
- Publisher : Data Camp
- Teacher: Lore Dirick
- Language: English
- Level: All levels
- Number of courses: 15
- Duration: 65 hours to complete the course
Content of the quantitative analyst with R
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Introduction to R for Finance
Average 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
Case study on analyzing urban time series data in R
Prediction in R
Visualizing time series data in R
Introduction to portfolio analysis in R
Advanced Portfolio Analysis in R
Bond valuation and analysis in R
Credit risk modelling in R
Quantitative risk management in R
Financial trading in R
Password file(s): free download software
File size
1.21GB