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About This Course

This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. Incorporating real-life case studies, this course covers both the technical and the “soft skills” necessary for investment professionals to stay relevant.

Prerequisites

This course is part of a data science series. It is suggested, but not required, that learners complete the courses in the recommended order below to ensure uniform foundational knowledge.

Recommended order:

  • Data and Statistics Foundation for Investment Professionals
  • Statistics for Machine Learning for Investment Professionals
  • Machine Learning for Investment Professionals
  • Natural Language Processing for Investment Professionals

What You’ll Learn

  • Describe how machine learning applications can address real-world investment problems
  • Utilize the language of data science when working with data scientists and data engineers
  • Explain machine learning concepts and techniques to a non-expert audience
  • Apply the CFA Institute Ethical Decision-Making Framework to machine learning dilemmas

Skills Gained

  • Leave with an understanding of the uses of machine learning in investment decision making
  • Develop the ability to translate data analytics between expert and non-expert audiences

Topics Сovered

  • Fintech

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