Intermediate Portfolio Analysis in R

Starting at USD 39.00
5 hours duration

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

This course is designed to enhance the knowledge gained from the Introduction to Portfolio Analysis in R course by delving into advanced concepts in the portfolio optimization process. It is crucial for analysts and portfolio managers to have a comprehensive understanding of all aspects of the portfolio optimization problem in order to make well-informed decisions. Throughout this course, participants will acquire a quantitative approach to effectively apply the principles of modern portfolio theory. They will learn how to specify a portfolio, define constraints and objectives, solve the problem, and analyze the results. To tackle portfolio optimization problems that closely resemble real-world scenarios, this course will utilize the R package PortfolioAnalytics, which enables the solving of complex constraints and objectives.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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