BUS 220Z - Advanced Data Science and Analytics for Accounting

3 units
Advanced data science and analytics to solve real-world problems. Using software development kits (SDKs), extract, transform, and load data (ETL) to create and populate database schemas. Use supervised and unsupervised ML and AI techniques to conduct predictive analytics, Monte Carlo simulations, decision trees, prediction, classification and clustering. Visualize and present analysis results with the help of generative AI tools.

Prerequisite(s): Graduate standing in MS Accountancy program.
Grading: Letter Graded.

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