Intermediate Portfolio Analysis in R

Engineering and Technology

Short Description

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

Long Description

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.

Related Courses

Intermediate Portfolio Analysis in R

by DataCamp

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

Intermediate Python for Finance

by DataCamp

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, Data...

Advanced Deep Learning with Keras

by DataCamp

Build multiple-input and multiple-output deep learning models using Keras.

Advanced NLP with spaCy

by DataCamp

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-bas...

Bayesian Data Analysis in Python

by DataCamp

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world us...

Cleaning Data with PySpark

by DataCamp

Learn how to clean data with Apache Spark in Python.

Data Manipulation in SQL

by DataCamp

Master the complex SQL queries necessary to answer a wide variety of data science questions and prep...

Data Types for Data Science in Python

by DataCamp

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...

Developing Python Packages

by DataCamp

Learn to create your own Python packages to make your code easier to use and share with others.

Exploratory Data Analysis in R

by DataCamp

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Course Details

Duration: 5 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

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.

Learn more