Statistical Data Modeling in Business Analytics II
In part two of this hands-on course, you will focus on fitting more complicated models to data and experiments. The models that will be discussed are known as generalized linear models and mixed effect models. You will also learn about multivariate statistical tools, such as principal component analysis, as well as entering the field of predictive modeling using time series data and simple forecasting techniques. By the end of the course, you should be able to interpret, report and present the results of your statistical models. Prerequisite EXGEN 5454
Prerequisites
Currently counts towards
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Technology & Innovation
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Series
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Data Science
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