Forecasting
This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. The course will focus on Autoregressive (AR), Moving Average (MA), combined ARMA, and Box Jenkins type models.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010

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

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

Survey Design and Sampling Procedures
This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed.
Tuition: $399 (5 CEUs)
Next dates available:
- July 08, 2011

Survey Analysis
This course covers the analysis of data gathered in surveys.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.

Introduction to Data Mining
This course covers the two core paradigms that account for most business applications of data mining: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010

Logistic Regression
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010

Introduction to Quantitative Risk Analysis
This course will cover the most important principles, techniques and tools used in modeling in Quantitative Risk Analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- October 01, 2010

Data Mining: Unsupervised Techniques
This course covers key unsupervised learning techniques - association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques.
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 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

Forecasting - Advanced
This course covers multiple linear regression, autoregressive modesls (ARMA and ARIMA), seasonal adjustment, measures of forecast accuracy, and exponential smoothing. It goes into greater detail and depth that "Forecasting Time Series 1."
Tuition: $399 (5 CEUs)
Next dates available:
- October 22, 2010

Financial Risk Modeling
This course teaches participants how to model financial events that have uncertainties associated with them.
Tuition: $399 (5 CEUs)
Next dates available:
- October 29, 2010

Cluster Analysis
This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
Tuition: $399 (5 CEUs)
Next dates available:
- November 05, 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

Decision Trees and Rule-Based Segmentation
Rule induction is an important component of data mining, and this course covers two main styles of generating rules.
Tuition: $399 (5 CEUs)
Next dates available:
- January 21, 2011

Discrete Choice Modeling and Conjoint Analysis
After taking this course, participants will be able to design appropriate conjoint and choice studies, using surveys, panels, and designed experiments. They will also be able to analyze and interpret the resulting data.
Tuition: $399 (5 CEUs)
Next dates available:
- April 08, 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.