Machine Learning for Finance
offered by UChicago

Private University
217 acre campus
Estd. 1890

Machine Learning for Finance
at
UChicago
Overview

Perform advanced financial analysis with algorithms and statistical techniques

Duration	8 weeks
Total fee	₹2.34 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

Machine Learning for Finance

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty
Placements
Entry Requirements

Machine Learning for Finance
at
UChicago
Highlights

Earn a certificate from the University of Chicago
Learn from industry experts

Machine Learning for Finance
at
UChicago
Course details

Skills you will learn

Python Regression Statistics Data analysis Simulation

Who should do this course?

For individuals who want to enhance their knowledge & skills in the field

What are the course deliverables?

Apply basic concepts of statistics to finance, including the random walk model
Understand what Exploratory Data Analysis is and how to perform it with Python and Pandas
Engineer new functions using existing data
Review statistics and probability and apply basic concepts of statistics to finance
Understand what linear regression is, when to use it, and how to apply linear regression metrics to a model
Make models more rigorous by adding train/test split and cross-validation
Backtest a model and understand why backtesting is important
Use simulation to solve a portfolio allocation problem
Converse at a high level about several advanced topics in financial machine learning

More about this course

The University of Chicago eight-week Machine Learning for Finance course will teach you to collect, organize, and use data to perform advanced financial analysis with algorithms and statistical techniques and tools
Organizations are constantly trying to streamline processes, cut costs, and drive profitability
Data has become a key driver in producing better financial analytics, providing leaders with the insights they need to make strategic decisions

Machine Learning for Finance
at
UChicago
Curriculum

Week 1: Statistics Review and Introduction to Python

Week 2: Exploratory Data Analysis (EDA) and Linear Regression

Week 3: Advanced Linear Regression and Model Building

Week 4: Time Series Modeling

Week 5: Advanced Time Series: Seasonality, GARCH Models, and Backtesting

Week 6: Model Building: Classification, Clustering, and Ensemble Methods

Week 7: Risk and Portfolio Selection

Week 8: Survey of Advanced Topics

Machine Learning for Finance
at
UChicago
Faculty details

Lara Kattan

Lara Kattan is a data science educator and curriculum writer. She is currently developing curriculum for institutions such as the University of Chicago and data science learning start-ups.

Machine Learning for Finance
at
UChicago
Placements

Particulars	Statistics (2025)
% Batch placed	70

View placement details

Machine Learning for Finance
at
UChicago
Entry Requirements

Eligibility criteria Up Arrow Icon

Education: Graduate

Conditional Offer Up Arrow Icon

Yes
No programs at the University of Chicago offer conditional admission to students who have not submitted an application following the standard application process and deadlines. A few will make conditional offers of admission to students who otherwise have met the requirements for admission, but do not yet meet the program's English proficiency requirements. If you receive a conditional offer, you will not be allowed to enroll until you have met the requirement; the conditions may not be met after arrival on campus.
Read more