## COURSE

## Financial Time Series Analysis in R

### Learn the fundamentals of analyzing a financial time series in R

This course provides an introduction to the financial times series data and how we can analyze the time series data in R.

- You will learn about how to explore and build time-series data, calculate its key statistics, and plot time series charts.
- You will also learn about how to use the important time series models such as White Noise, Random Walk, Autoregression, and Moving Average.
- You will learn how to simulate these models in R and fit these models into financial time series data using the ARIMA functions.
- Finally, you will learn about predictive modeling and how to use these models to predict the future.
- We've provided various step-by-step examples using real financial time series data such as stock prices, and economic factors.

**What's Included**

- Detailed concepts and explanations about each topic
- Step-by-step instructions for all models built in R
- All the data files used in the book
- Complete downloadable R code for all examples used in the book

#### Course Resources

eBook for Financial Time Series Analysis with R

Data and R Code Files for Financial Time Series Analysis with R

## Lessons

# R Programming Bundle: 25% OFF

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Get it now for just $29**R Programming - Data Science for Finance Bundle**for just $29 $39.#### Course Resources

eBook for Financial Time Series Analysis with R

Data and R Code Files for Financial Time Series Analysis with R