PROFESSIONAL EDUCATION

Machine Learning for Finance

Leverage data-driven analysis to identify relevant financial trends.

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After completing the course, you will be able to:

After completing the course, you will be able to:

  1. Apply basic concepts of statistics and probability to finance

  2. Understand what exploratory data analysis is and how to perform it with Python and Pandas

  3. Engineer new features and functions from existing data

  4. Comprehend how unsupervised machine learning models work and when they can be useful

  5. Use simulation to solve portfolio risk and allocation problems and answer financial questions

  6. Earn a credential certified by the University of Chicago and become part of the UChicago network

Course Modules

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 modality 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

UCH Faculty Lara Kattan
Lara Kattan, MPP

Data Science Educator and Curriculum Writer

Unique Program Features

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Live Sessions
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World-Class Instructors
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Hands-On Learning
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International Networking

This course is an excellent fit for:

  • Financial analysts and consultants who want to explore tech-driven data collection and analysis

  • Investors and venture capital and portfolio managers exploring ways to manage investment fund risk

  • CFOs and other managers who want to bolster financial data analysis in their organizations

  • Other finance professionals seeking technological tools and techniques to achieve their goals

  • Data professionals who want to develop a career in the financial industry or in a finance-oriented role

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

Home to 99 affiliated Nobel laureates, UChicago is where learners turn ideas into impact.

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