# Pages

**Degrees**

### Contact

# Certificates

Programming for Data Science with Python Certificate for Experienced Programmers

Programming for Data Science with Python Certificate for Experienced Programmers

Programming for Data Science with R Certificate for Novice Programmers

Programming for Data Science with R Certificate for Experienced Programmers

# Mastery Series

# Courses

## A-L

Advanced Structural Equation Modeling

Analysis of Survey Data from Complex Sample Designs

Biostatistics 1 – For Medical Science and Public Health

Biostatistics 2 – For Medical Science and Public Health

Biostatistics for College Credit

Clinical Trials – Phamacokinetics and Bioequivalence

Content Optimization with Multi-Armed Bandits & Python

Designing Valid Statistical Studies

Discrete Choice Modeling and Conjoint Analysis

Ecological and Environmental Sampling

Independent Data Monitoring Committees in Clinical Trials

Integer and Nonlinear Programming and Network Flow

Interactive Data Visualization

Introduction to Bayesian Computing and Techniques

Introduction to Bayesian Hierarchical and Multi-level Models

Introduction to Bayesian Statistics

Introduction to Design of Experiments

Introduction to Item Response Theory (IRT)

Introduction to MCMC and Bayesian Regression via rstan

Introduction to Network Analysis

Introduction to Python Programming

Introduction to Resampling Methods

Introduction to Statistical Issues in Clinical Trials

Introduction to Statistics for College Credit

## M-Z

Mixed and Hierarchical Linear Models

Optimization with Linear Programming

Persuasion Analytics and Targeting

Predictive Analytics – Project Capstone

Predictive Analytics 1 – Machine Learning Tools

Predictive Analytics 1 – Machine Learning Tools with Python

Predictive Analytics 1 – Machine Learning Tools with R

Predictive Analytics 2 – Neural Nets and Regression

Predictive Analytics 2 – Neural Nets and Regression with Python

Predictive Analytics 2 – Neural Nets and Regression with R

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules with Python

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules with R

Principal Components and Factor Analysis

R Programming – Introduction Part 1

R Programming – Introduction Part 2

R Programming for Statistical Analysis

Rasch Measurement – Core Topics

Rasch Measurement – Further Topics

Rasch Measurement – Many Facet

Sample Size and Power Determination

Spatial Statistics for GIS Using R

SQL – Introduction to Database Queries

Statistics 1 – Probability and Study Design

Statistics 2 – Inference and Association

Statistics 3 – ANOVA and Regression