Machine Learning for Finance

Leverage data-driven analysis to identify relevant financial trends

Limited spots. Enroll now.

About the Course

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 learn to financial models.

You Will Learn To:

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

Request for Information

https://online.professional.uchicago.edu/info-typ/fnb-dfa-infotyp/

Career Outlook

is the average annual base pay for a financial analyst in the United States.

is the anticipated value of the financial analytics market by 2030.

is the projected CAGR of the financial analytics industry from 2022 to 2030.

Potential Job Titles in Financial Analytics

Accountant
Asset/Wealth Manager
CFO
Commercial Banker
Economist
Finance Manager
Financial Advisor
Financial Analyst
Investment Banker

Meet Your Instructor

Lara Kattan develops curriculum for institutions like the University of Chicago and data science learning start-ups. A former consultant in risk practice at McKinsey, she has an MA in public policy with a concentration in econometrics from UChicago.

Do you have questions?

The University of Chicago Approach to Online Learning

Our online learning programs are crafted with your specific needs in mind. Programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical, real-world application. Through online learning sessions, you will have an opportunity to grow your professional network and interact with University of Chicago instructors and your classmates.

“By directly involving students in the challenge of securing the right data and exploring potential solutions, we’re equipping them with the foundational skills required to deliver tangible results to clients.”
– Greg Green, PhD, Associate Senior Instructional Professor and Director of the MScA Program at the University of Chicago.

Are you ready to take a leap forward and immerse yourself in a new learning experience? Register online or schedule a call to request more information. Enroll now and gain valuable knowledge and skills that will boost your career to the next level.