Machine Learning for Finance

Bridge finance and technology with practical machine learning expertise.

Course Modules

1Statistics Review and Introduction to Python

2Exploratory Data Analysis and Linear Regression

3Advanced Linear Regression and Model Building

4Time Series Modeling

5Advanced Time Series

6Classification, Unsupervised Learning, and Ensemble Methods

7Risk and Portfolio Selection

8Advanced Concepts in Financial Analysis

After completing the course, you will be able to:

Apply statistics and probability concepts to finance.
Understand what exploratory data analysis is and how to perform it with Python and Pandas.
Engineer new features and functions from existing data.
Comprehend how unsupervised machine learning models work and when they can be useful.
Use simulation to solve portfolio risk and allocation problems and answer financial questions.
Pioneer data-driven strategies that enhance financial forecasting, risk assessment, and investment analysis.

This course is an excellent fit for:

CFOs and other senior finance leaders eager to drive data-centric financial strategies and lead digital transformation in their organizations.
Investors, venture capitalists, and portfolio managers looking to enhance risk assessment and optimize investment strategies using data-driven methodologies.
Consultants who want to integrate advanced machine-learning techniques into financial modeling and decision-making.
Diverse finance professionals interested in leveraging machine learning and predictive analytics to enhance financial performance and decision-making.
Analysts and data professionals looking to transition into finance or specialize in fintech, quantitative analysis, or financial risk modeling.

Past Participant Profiles

Participants in this course bring diverse industry experience, roles, and expertise, fostering a dynamic exchange of ideas. This diversity enriches discussions, leading to deeper insights and innovative approaches to complex financial challenges.

Diverse Functional Responsibilities

A Wide Range of Work Experience

Unique Program Features

Live Sessions

World-Class Instructors

Hands-On Learning

International Networking

UChicago Credentials

By successfully completing the course, you will receive a credential from the University of Chicago, a digital badge, and earn 4.6 Continuing Education Units (CEUs). You will also become part of the UChicago network.

Our Approach to Online Learning

UChicago’s Machine Learning for Finance course will teach you to collect, organize, and use data to perform advanced financial analysis with algorithms and statistical techniques.

Flexible

Make the most of your time with a format that lets you study and complete coursework at your own pace. If you are unable to attend webinars or live sessions, you can access them later.

Interactive

Our interactive content includes videos from instructors at the University of Chicago and visual and graphic materials that provide real-life examples.

Personalized

The instructional assistant—a subject matter expert—will accompany you on your journey through the content, answering your questions and providing feedback on your work.

Meet Your Instructor

These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.

Sourav Ghosh, MSc

Vice President at an Investment Bank

Lara Kattan, MPP

Clinical Assistant Professor of Operations Management

Student Feedback

This course is valuable for gaining further knowledge of ML content for finance. It enhanced my understanding of application principles and increased my confidence in my ability to make decisions related to problems that can be solved by applying the concepts covered.

Derrick Walker

Technology Process and Reporting, Nike Inc.

Home to 101 affiliated Nobel laureates, UChicago is where learners turn ideas into impact.

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