Online Course

Machine Learning for Investment Professionals

Gain an understanding of machine learning along with the technical and soft skills needed to use it in the investment process.

USD 339.00

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.

During this online course, you will have the opportunity to gain practical experience through immersive code labs that draw on real-world scenarios.

Course modules include:

Module 1: Machine Learning
Module 2: Supervised Learning
Module 3: Unsupervised Learning
Module 4: Deep Learning
Module 5: The Translator

This course is part of the Data Science for Investment Professionals Certificate.

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
Mitigating Biases in the Data Science Pipeline for Investment Professionals

What You’ll Learn

Upon completion of this online course you will be able to:

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

Topics Covered

Fintech
Quantitative Methods

Digital Badge

Receive a digital badge upon finishing the course.
Study time

12–15 hours to complete
12-month access to learning materials
Online self-paced

Everything can be completed online at your own pace.
10 PL credits

Members can claim credits toward professional learning goals
Who should enroll

Ideal for those with some background in finance and investments.