Using R for Regression and Machine Learning in Investment

5

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Intermediate
Deadline
Flexible
Duration
17 hours
Certificate
Paid Certificate Available
Course author
Youngju Nielsen
  • Understanding the basic common concept of machine learning

  • Familiarizing with most commonly used methodology, regression

  • Distinguishing in-sample and out-of-sample results and leading to well-performing models in a real-life

Description

In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics and R programming. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. Students are also expected to know of the instructors' 1st course, 'Fundamental of data-driven investment.' The instructor will explain the detail of R programming. It will be an excellent course for you to improve your programming skills but you must have basic knowledge in R. If you are very good at R programming, it will provide you with an excellent opportunity to practice again with finance and investment examples.

Similar courses

Decentralized Finance (DeFi) Infrastructure
  • Flexible deadline
  • 6 hours
  • Certificate
Financial Markets
  • Flexible deadline
  • 33 hours
  • Certificate
Private Equity and Venture Capital
  • Flexible deadline
  • 10 hours
  • Certificate
Using R for Regression and Machine Learning  in Investment
  • English language

  • Recommended provider

  • Certificate available