This course covers AI fundamentals and concepts as pertaining to finance. The course will review python programming basics such as Basic Input-Output Operations, Basic Operators, Conditional Execution, Loops, and Lists.
This course covers AI fundamentals and concepts as pertaining to finance. The course will review python programming basics such as Basic Input-Output Operations, Basic Operators, Conditional Execution, Loops, and Lists. The focus will be on how to utilize financial libraries for python including the use of Numpy, Pandas, Pyalgotrade, FinmarketPy and Scipy. SQL a domain-specific language used in programming and designed for managing data will also be utilized in projects and case studies.The course will look at machine learning, the mathematical foundations for machine learning. There will be extensive work with supervised learning, unsupervised learning, reinforcement learning and algorithmic trading concepts.The course will conclude with a case study applying one of these concepts to a real-world situation.
THIS COURSE MAY BE APPLICABLE TO OTHER COM SCI X 400-LEVEL CERTIFICATES (as an elective).
Summer 2024 Schedule
Date & Time
Details
Format
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This section has no set meeting times.
Future Offering (Opens April 29, 2024 12:00:00 AM)
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