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Quantitative Analyst in R

Bijgewerkt 03-2025
Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
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Trackbeschrijving

Quantitative Analyst in R

Become a Quantitative Analyst with R

Launch your quantitative finance career by mastering the skills to evaluate asset prices, balance risk, and uncover trading opportunities using R. In this Track, you'll learn how to manipulate time series data, build forecasting models, analyze portfolios, and manage risk. Hands-on exercises with real financial data ensure you're ready to apply your skills in the workplace.

Master the Quantitative Analyst Toolbox

Gain proficiency in the core techniques used by quantitative analysts, including cleaning, manipulating, and visualizing time series data with packages like zoo, xts, and lubridate. You'll also explore ARIMA and exponential smoothing models for forecasting, portfolio optimization strategies, credit risk assessment using logistic regression, and value-at-risk models for market risk quantification.

Solve Real-World Financial Challenges with R

Apply your skills to projects that reflect the day-to-day work of a quantitative analyst:
  • Evaluate bond prices and protect against interest rate changes
  • Optimize asset allocation to balance risk and return
  • Build and backtest signal-based trading strategies
  • Estimate the likelihood of credit default for lending decisions
  • Analyze risk factor returns and estimate value-at-risk

Why R for Quantitative Finance?

R has become the go-to programming language for quantitative finance thanks to its powerful data manipulation tools, state-of-the-art time series modeling, and active community of financial experts. Its open-source nature ensures access to the latest techniques, while packages like quantmod and PerformanceAnalytics provide a robust framework for financial analysis.

Advance Your Quantitative Finance Career with R Skills

By completing this Track, you'll have the skills and confidence to:
  • Pursue quantitative analyst, risk management, and trading strategy roles
  • Make data-driven financial decisions to optimize portfolios
  • Collaborate with other analysts using the common language of R
  • Stay ahead of the curve with cutting-edge modeling techniques
Whether you're breaking into the field or looking to level up your skills, this Track will equip you with the quantitative finance expertise to succeed.

Wat je nodig hebt

Er zijn geen vereisten voor deze track.
  • Course

    1

    Introduction to R for Finance

    Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

  • Course

    Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

  • Course

    Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

  • Course

    Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

  • Course

    10

    Introduction to Portfolio Analysis in R

    Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

  • Course

    Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

  • Course

    This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Quantitative Analyst in R
15 Cursussen
Track
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