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CS92PROD
Applied Time Series Analysis

QAC 320
Spring 2021
Section: 01  
Course Cluster and Certificates: Applied Data Science Certificate

Understanding and modeling the past allows us to extract insights in our areas of study that are not possible to extract without time series data. This course is an introduction to the theory and practice of time series analysis. We will learn to identify and model the components of a time series process, and to properly model relationships among variables over time. By emphasizing the practical applications of time series analysis, the course will give students an opportunity to further develop computational skills and learn how to develop forecasting models, and to make inference using time series data.
Credit: 1 Gen Ed Area Dept: SBS QAC
Course Format: LaboratoryGrading Mode: Graded
Level: UGRD Prerequisites: ECON300 OR QAC201
Fulfills a Major Requirement for: (CADS)(DATA-MN)
Past Enrollment Probability: 90% or above

Last Updated on MAY-16-2021
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