CAREER TRACK

Quantitative Analyst with R

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

R career track data quantitative analyst final

R Language
65 hours
15 Courses
$108,000/year

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 Play preview

Lore Dirick

Senior Data Science Curriculum Writer 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 Play preview

Lore Dirick

Senior Data Science Curriculum Writer at Flatiron School
3

Manipulating Time Series Data in R with xts & zoo

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

4 hours Play preview

Jeffrey Ryan

Creator of xts and quantmod
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 Play preview

Joshua Ulrich

Quantitative Analyst & member of R/Finance Conference committee
5

Introduction to Time Series Analysis

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

4 hours Play preview

David S. Matteson

Associate Professor at Cornell University
6

ARIMA Modeling with R

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

4 hours Play preview

David Stoffer

Professor of Statistics at the University of Pittsburgh
7

Manipulating Time Series Data in R: Case Studies

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

4 hours Play preview

Lore Dirick

Senior Data Science Curriculum Writer at Flatiron School
8

Forecasting Using R

Learn how to make predictions about the future using time series forecasting in R.

5 hours Play preview

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 Play preview

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

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 Play preview

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 Play preview

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

Senior Data Science Curriculum Writer 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 Play preview

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 Play preview

Ilya Kipnis

Professional Quantitative Analyst and R programmer
Statement of accomplishment

See all 15 courses

Lore Dirick

Senior Data Science Curriculum Writer at Flatiron School

Jeffrey Ryan

Creator of xts and quantmod

Joshua Ulrich

Quantitative Analyst & member of R/Finance Conference committee

David S. Matteson

Associate Professor at Cornell University

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Courses

Tracks

Instructors

Quantitative Analyst with R

Introduction to R for Finance

Intermediate R for Finance

Manipulating Time Series Data in R with xts & zoo

Importing and Managing Financial Data in R

Introduction to Time Series Analysis

ARIMA Modeling with R

Manipulating Time Series Data in R: Case Studies

Forecasting Using R

Visualizing Time Series Data in R

Introduction to Portfolio Analysis in R

Intermediate Portfolio Analysis in R

Bond Valuation and Analysis in R

Credit Risk Modeling in R

Quantitative Risk Management in R

Financial Trading in R

Statement of accomplishment

Ready To Learn