|
DSST 189
|
Introduction to Statistical Modeling
|
Topics will include exploratory data analysis, correlation, linear and multiple regression, design of experiments, basic probability, the normal distribution, sampling distributions, estimation, hypothesis testing and randomization approach to infere...
|
|
DSST 289
|
Introduction to Data Science
|
Multiple linear regression, logistic regression, ANOVA and other modeling based topics. Exploratory graphical methods, model selection and model checking techniques will be emphasized with extensive use a statistical programming language (R) for data...
|
|
DSST 389
|
Advanced Data Science
|
Computational statistics and statistical algorithms for building predictive models from large data sets. Topics include model complexity, hyper-parameter tuning, over- and under-fitting, and the evaluation of predictive performance. Models covered in...
|
|
DSST 390
|
Directed Independent Study
|
Topics independently pursued under supervision of faculty member.
|
|
DSST 395
|
Special Topics in Data Science & Statistics
|
Selected topics in data science and statistics.
|