QuantBros.com Introduction to R Programming for Financial Timeseries

Learn Financial Programming and Timeseries Analysis Basics in R and R Studio Not enough for you? Want to learn more R? Our friends over at DataCamp will whip you into shape real quick if you need help: https://www.datacamp.com/courses/free-introduction-to-r?tap_a=5644-dce66f&tap_s=84932-063f71 Or if you're more of a Python guy, we have an intro to finance for Python course live on DataCamp right now: https://www.datacamp.com/courses/introduction-to-portfolio-analysis-in-r?tap_a=5644-dce66f&tap_s=84932-063f71 Join the Quants by taking our Quant Course at http://quantcourse.com 1) Basics of R Programming / Downloading R 2) Using Data Frames 3) An Intro to the Quantmod Package 4) Reading in Financial Data from Quantmod 5) Using Vectors in R 6) Reading and Writing Data as CSV Files 7) Plotting Timeseries Data in R 8) Working with Split / Dividend Adjusted Data 9) Calculating Log Returns 10) Converting Log Returns to Arithmetic and Vice-Versa 11) Apply Function in R / Working With Multivariate Data 12) Intro to the Performance Analytics Package 13) XTS and Zoo Objects for Financial Data 14) Chart the Cumulative Return of an Asset 15) Chart the Drawdown and Daily Returns of an Asset 16) Charting Multiple Assets at Once in R 17) Merging Different Datasets With Different Indexes 18) Calculating Sharpe Ratios and other Performance Metrics