Apr 23, 2024  
2018-2019 Catalog and Handbook 
    
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2018-2019 Catalog and Handbook [ARCHIVED CATALOG]

DATA 606 - Statistics and Probability for Data Analytics (3 Credits)

Prerequisite: None
This course covers basic techniques in probability and statistics that are important in the field of data analytics. Discrete probability models, sampling from infinite and finite populations, statistical distributions, basic Bayesian statistics, and non-parametric statistical techniques for categorical data are covered in this course. Each of these statistical concepts will be applied in a variety of real-world scenarios through the use of case studies and customized data sets.