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Quantitative Analyst in R

In finance, quantitative analysts ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

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1
Introduction to R for Finance

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

4 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

2
Intermediate R for Finance

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

5 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

3
Manipulating Time Series Data in R

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

4 hours

Harrison Brown Headshot

Harrison Brown

Graduate Researcher

4
Importing and Managing Financial Data in R

Learn how to access financial data from local files as well as from internet sources.

5 hours

Joshua Ulrich Headshot

Joshua Ulrich

Quantitative Analyst & member of R/Finance Conference committee

5
Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours

David S. Matteson Headshot

David S. Matteson

Associate Professor at Cornell University

6
ARIMA Models in R

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

4 hours

David Stoffer Headshot

David Stoffer

Professor of Statistics at the University of Pittsburgh

7
Case Study: Analyzing City Time Series Data in R

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

4 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

8
Forecasting in R

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

5 hours

Rob J. Hyndman Headshot

Rob J. Hyndman

Professor of Statistics at Monash University

9
Visualizing Time Series Data in R

Learn how to visualize time series in R, then practice with a stock-picking case study.

4 hours

Arnaud Amsellem Headshot

Arnaud Amsellem

Quantitative Trader and creator of the R Trader blog

10
Introduction to Portfolio Analysis in R

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

5 hours

Kris Boudt Headshot

Kris Boudt

Professor of Finance and Econometrics at VUB and VUA

11
Intermediate Portfolio Analysis in R

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

5 hours

Ross Bennett Headshot

Ross Bennett

Co-author of PortfolioAnalytics R package

12
Bond Valuation and Analysis in R

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

4 hours

Clifford Ang Headshot

Clifford Ang

Vice President at Compass Lexecon

13
Credit Risk Modeling in R

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

4 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

14
Quantitative Risk Management in R

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

5 hours

Alexander J. McNeil Headshot

Alexander J. McNeil

Professor of Actuarial Science at the University of York.

15
Financial Trading in R

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

5 hours

Ilya Kipnis Headshot

Ilya Kipnis

Professional Quantitative Analyst and R programmer

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