Categorical Data Analysis
This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories). Topics include tests for independence (comparing proportions as well as chi-square), exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered.
Tuition: $399 (5 CEUs)
Next dates available:
- October 01, 2010

Regression Analysis
In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
Tuition: $399 (5 CEUs)
Next dates available:
- October 08, 2010

Environmental Statistics
This course will introduce you to the statistical methods used in environmental analysis. Many of these methods would be covered in a standard course on statistics, but some of the topics that are covered here would not be included in such a course.
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010

Sample Size and Power Determination
This course shows you how to make power and sample size determination for experiments, surveys and long-term trials.
Tuition: $399 (5 CEUs)
Next dates available:
- November 26, 2010

Ecological and Environmental Sampling
This course covers sampling methods and analyses used to study of the density and abundance of animals and plants, and other important biological variables.
Tuition: $399 (5 CEUs)
Next dates available:
- February 25, 2011

Bayesian Environmental Statistics
This online course covers the application of Bayesian statistical methods to environmental data and decision-making and EPA's DQO's.
Tuition: $399 (5 CEUs)
Next dates available:
- March 25, 2011

Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010

An Introduction to Bayesian Computing and Techniques
Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010

Advanced Logistic Regression
After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, "Logistic Regression."
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010

Categorical Data - Applied Modeling
This course continues the analysis of categorical data, contains a review of logistic regression, and introduces multinomial responses for logistic regression, probit, logit and loglinear analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010

Spatial Statistics With Geographic Information Systems
Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010

Bayesian Regression Modeling via MCMC Techniques
This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010

Missing Data Analysis
This course will cover the theory and practice of two modern methods of handling missing data: maximum likelihood and multiple imputation.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010

Matrix Algebra Review
This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix.
Tuition: $299 (3.75 CEUs)
Next dates available:
- December 10, 2010

Spatial Analysis Techniques in R
This course will teach users how to implement spatial statistical analysis procedures using R software.
Tuition: $399 (5 CEUs)
Next dates available:
- December 17, 2010

Multivariate Statistics
This course covers key multivariate procedures such as classification, clustering, principal components and factor analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- February 18, 2011

Introduction to Resampling Methods
The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation.
Tuition: $299 (3.75 CEUs)
Next dates available:
- February 25, 2011

Randomization, Permutation and Exact Tests
Online course in randomization (permutation) tests.
Tuition: $399
Next dates available:
- April 22, 2011

Visualization in R with ggplot2
R Project ggplot2 taught by its creator. This course teaches the "Grammar of graphics" in an elegant, efficient and systematic manner.
Tuition: $399 (5 CEUs)
Next dates available:
- July 22, 2011

Maximum Likelihood Estimation
This course will cover the derivation of maximum likelihood estimates, and their properties.
Tuition: $179 (2.5 CEUs)
Next dates available:
- To be Announced.