Machine Learning for Finance

Leverage data-driven analysis to identify relevant financial trends.

Limited spots.

About the Course

The University of Chicago’s 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. You will engage with real-world case studies and examples, allowing you to apply the theory you will learn to financial models.

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.

Participants who successfully complete the course will receive credentials certifying completion from the University of Chicago, including a digital badge, and become part of the UChicago network.

Methodologies and Techniques:

Pandas
Python

Request for Information

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

Career Outlook

Today’s businesses need data-based financial analysis to gain deeper insights that will enable them to connect operations to long-term value, model scenarios in real time, and allocate resources efficiently. The increasing demand for advanced finance functions and technological advancements in cloud-based services have led to the financial analytics market’s significant growth.

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

Source: Glassdoor

The anticipated value of the financial analytics market by 2030.

Source: Global Market Insights

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

Source: Global Market Insights

Potential Job Titles for Professionals with Skills in Machine Learning for Finance

Asset/Wealth Manager
Business Intelligence Analyst
CFO
Commercial Banker
Economist
Finance Manager
Financial Advisor
Financial Analyst
Investment Banker
Trader
Treasury Analyst

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

Sourav Ghosh has worked in high-frequency algorithmic trading firms for over a decade. Along with fintech, his areas of interest include probability theory and stochastic processes, statistical learning and inference, and natural language processing.

Lara Kattan, MPP

Clinical Assistant Professor of Operations Management

Lara Kattan is a data scientist and machine learning engineer. At the University of Chicago Booth School of Business, she teaches Python, SQL, and R courses. A previous consultant at McKinsey, Kattan holds an MPP in public policy (econometrics concentration) from the University of Chicago.

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.

What Our Participants Say

"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

"This course helped me refresh concepts, learn about new use cases, and bolster my capabilities as a leader in a company where we create AI solutions."
Luis Sepúlveda H.
CEO, Alaya Digital Solutionsi

“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, Director of the MS in Applied Data Science 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.