Overview
Join over 9,780,000 learners and start Applied Finance in R today!
In the Applied Finance in R course at Data Camp, you’ll begin this track by learning how to evaluate portfolios and value stocks using present value approaches, free cash flow, and equity and dividend discount models. Next, you’ll explore life insurance products and learn the basics of financial trading. Through interactive coding exercises, you’ll use powerful libraries, including quantmod, QRM, xts, zoo, and quantstrat, to examine and manage credit risk. You’ll then apply what you’ve learned to answer questions commonly faced by financial firms, such as how to value a fixed interest rate bond and estimate a bond's yield. Along the way, you’ll also create GARCH models and get hands-on with real data from the US Treasury, daily Microsoft returns, and S&P 500 data. Start this track to advance your R financial skills.
Programme Structure
Courses include:
- Quantitative Risk Management in R
- Equity Valuation in R
- Life Insurance Products Valuation in R
- Bond Valuation and Analysis in R
- Financial Trading in R
- Credit Risk Modeling in R
- GARCH Models in R
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Disciplines
Finance Data Science & Big Data Web Technologies & Cloud Computing View 593 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing