May 16, 2022  
2021-2022 Catalog 
    
2021-2022 Catalog

DS 408 - Modeling and Predictive Analysis


Predictive analysis is widely used in data science—it uses observations from previously collected data to predict future outcomes. In this course, you will learn how to perform predictive analysis. First, you will explore the basic elements of predictive analysis and find out how to prepare data for predictive analysis and avoid model overfitting. Next, you will review regression and classification methods for predictive analysis in detail. The course will conclude with general topics, including assessing the importance of different predictors, selecting features for a model, and factors that affect the performance of predictive models.

Prerequisites & Notes
Student has completed or is in process of completing any of the following course(s): DA 309 - Essentials of Biostatistics

Credits: 3