The University of Chicago
The University of Chicago Logo

Machine Learning for Finance 

  • Private University
  • Institute Icon217 acre campus
  • Estd. 1890

Machine Learning for Finance
 at 
UChicago 
Overview

Perform advanced financial analysis with algorithms and statistical techniques

Duration

8 weeks

Start from

15th Jul'24

Total fee

2.34 Lakh

Mode of learning

Online

Official Website

Go to Website External Link Icon

Course Level

UG Certificate

Machine Learning for Finance
 at 
UChicago 
Highlights

  • Earn a certificate from the University of Chicago
  • Learn from industry experts
Details Icon

Machine Learning for Finance
 at 
UChicago 
Course details

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

Faculty Icon

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 
Entry Requirements

Eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Yes

Other courses offered by UChicago

21 months
A++ Shiksha Grade
#1 US News
– / –
  • Sep' 24
67.71 L
– / –
  • Sep' 24
47.27 L
– / –
  • Sep' 24
39.24 L
4 years
A++ Shiksha Grade
– / –
    – / –
55.98 L
View Other 158 CoursesRight Arrow Icon

Machine Learning for Finance
 at 
UChicago 
Popular & recent articles

View more articles

Machine Learning for Finance
 at 
UChicago 
Contact Information

Address

Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)

Go to College Website ->