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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
Adaptive Designs for Clinical Trials
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 – Free Trial
Introduction to Statistics for College Credit
Introduction to Structural Equation Modeling (SEM)
M-Z
Missing Data
Mixed and Hierarchical Linear Models
Modeling Longitudinal and Panel Data
Natural Language Processing Using NLTK
Optimization with Linear Programming
Persuasion Analytics and Targeting
Predictive Analytics – Free Trial
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