Statistics LMS: Current Courses

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Analysis of Survey Data from Complex Sample Designs 102320

Self enrollment

Modeling Count Data 102320

Self enrollment

Spatial Statistics for GIS - Using R 102320

Self enrollment

Introduction to MCMC and Bayesian Regression via rstan 101620

Meta Analysis in R 101620

Practical Rasch Measurement - Core Topics 100920

Statistics 2: Inference and Association 100920

Categorical Data Analysis 100220

Regression Analysis 100220

Statistics 1: Probability and Study Design 100220

Survey Analysis 092520

Mixed and Hierarchical Linear Models 092520

Bayesian Statistics in R 091820

Survival Analysis 091820

Statistics 3: Anova and Regression 091820

TESU DSI 700: Applied Predictive Analytics 091120

TESU DSI 621: Integer/Nonlinear Programming and Network Flow 091120

TESU DSI 608: R Programming Intermediate 091120

Self enrollment

NLP Using NLTK 091120

TESU DSI 606: Predictive Analytics 3 -Dimension Reduction, Clustering, and Association Rules: R 091120

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