Applied Time Series Analysis

Catalog description

Pre- or Co-requisite: STQM 4000 - Data Analytics in R This course will focus on time analysis, modeling and forecasting, with emphasis on practical applications in business and other areas. Throughout the course we will use real data sets from various sources. This course will use R or another professional software for most of the applied statistical analysis. Data analysis usually involve getting data, parsing the data and transforming the data to a state where you can actually apply time series analysis. Upon completion of course, the students will be able to carry out basic Time Series analysis and fit a model to data. Our goal is to enable students to learn from data in order to gain useful predictions and insights.