R for Regression and Machine Learning in Investment
Boost your R programming skills and learn the core concepts of machine learning
Data is an essential tool for every sector, including investments. With data analytics, investment strategies, portfolio management, and decision-making are algorithm and data-driven, reducing the risk factors associated with investment.
This two-week course from Sungkyunkwan University (SKKU) will introduce you to fundamental machine learning and regression methodologies and help you improve your R programming skills to use data analysis in solving investment problems.
Understand how to use regression for data analysis of investments
This course will guide you through using regression methodology for various investment analysis purposes by using Ridge, Lasso, and logistic regression.
You’ll begin by gauging investment strategy using backtesting and learn about regression methodology, how to solve classification problems with logistic regression, and analyse data using the Fama-Macbeth Regression method.
Create a machine learning model to predict the movement of the stock market
On this course, you’ll take the first step toward using machine learning methodologies in solving investment problems.
Not only will you develop a firm grasp on the core concepts of machine learning, but you’ll also learn about machine learning models that are used to predict the movement of the stock market and create your own macro factor model using R programming.
Learn with the experts at Sungkyunkwan University
The instructor of this course has more than 15 years of experience with algorithmic trading and investment portfolio management experience in the G10 markets at Wall Street major firms.
With her expertise and guidance, you’ll be well-equipped to apply regression and machine learning methods to real data and improve your investment strategies.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Explain core concepts of machine learning
- Apply regression models to stock market data
- Evaluate in-sample and out-of-sample results to create a model that performs well in real-life
- Create a macro factor model using R programming
Who is the course for?
This course is designed for anyone with financial economics and R programming knowledge, who is interested in learning how to apply advanced regression methods to real data and concepts of machine learning.
You should already be familiar with basic R programming to benefit from this course.
Who developed the course?
LocationSeoul, South Korea
World rankingTop 100Source: QS World University Rankings 2021
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