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CS437

Predictive Analytics and Time Series Forecasting

Excelsior University 3 credits Computer Science

Course Description

This course combines the power of predictive analytics with specialized techniques designed for analyzing time-dependent data. Students learn to uncover patterns, trends, and variations within time series datasets, equipping them with the skills to make accurate forecasts. The course offers hands-on experience in applying an array of statistical and machine learning models to predict future outcomes for real-world case studies. The course integrates a forward-looking perspective on the future of Predictive Analytics, and the evolving landscape of artificial intelligence (AI) in the field. Through a blend of theoretical insights and practical applications, students navigate the intersection of traditional predictive analytics and the transformative impact of AI on forecasting methodologies.

Code
CS437
Credits
3
Subject
Computer Science

Programs That Include This Course

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