STATS 786 - Time Series Forecasting for Data Science

Course Overview

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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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