Machine Learning for Finance offered by The University of Chicago
- Private University
217 acre campus- Estd. 1890
Machine Learning for Finance at UChicago Overview
Machine Learning for Finance
at UChicago
Perform advanced financial analysis with algorithms and statistical techniques
Duration | 8 weeks |
Start from | Start Now |
Total fee | ₹2.34 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Machine Learning for Finance at UChicago Highlights
Machine Learning for Finance
at UChicago
- Earn a certificate from the University of Chicago
- Learn from industry experts
Machine Learning for Finance at UChicago Course details
Machine Learning for Finance
at UChicago
Skills you will learn
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
Machine Learning for Finance
at UChicago
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
Machine Learning for Finance
at UChicago
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
Machine Learning for Finance
at UChicago
Eligibility criteria
- Education: Graduate
Conditional Offer
- Yes
- Read moreNo 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.
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Machine Learning for Finance at UChicago Contact Information
Machine Learning for Finance
at UChicago
Address
Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)
Phone
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