STATS 786 - Time Series Forecasting for Data Science
Faculty
Science
Department
Statistics
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Prerequisites / Restrictions
Prerequisite: 15 points from STATS 201, 208 Restriction: STATS 326, 727
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