Applied Finance in R, Short Course | Part time online | Data Camp | United States
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Short Online

Applied Finance in R

2 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

Join the Applied Finance in R course at Data Camp and grow your financial skills in R and learn how to manipulate data and make better data-driven decisions. 

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic 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

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.
  • National

    Free
    Tuition Fee
    Based 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

Funding

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