Machine Learning for Finance

Course Code:
CEUs Earned:
4.6
Format:
Online
Duration:
8 weeks

Learn to collect, organize, and use data and information to perform advanced financial analysis with algorithms and statistical techniques and tools.

Our eight-week Machine Learning for Finance course focuses on collecting, organizing, and using data to perform advanced financial analysis with algorithms and statistical techniques and tools. During the course, you will have an opportunity to work through real-life case studies and examples giving you an opportunity to practically apply the theory you will be taught to financial models.

You Will Learn To:

  • Review statistics and probability, and to apply basic concepts of statistics to finance.
  • Understand what linear regression is and when to use it, as well as how to apply linear regression metrics to a model.
  • Make models more rigorous by adding things like train/test split and cross-validation.
  • Backtest a model and understand why this is particularly important for finance.
  • Use simulation to solve a portfolio allocation problem.
  • Converse at a high level about several advanced topics in financial machine learning.

You Will Be Able To:

  • Understand and review statistics and probability.
  • Perform Exploratory Data Analysis in Python/Pandas.
  • Monitor a model for performance.
  • Define risk in finance.

Stand-alone Option

This course may be taken outside of the certificate.