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Elective Courses (4 required)
Introduction to Support Vector Machines in R
This course begins by developing basic concepts such as hyperplanes, features spaces and kernels; then it covers the development of support vector machines (SVM's).
Tuition: $369
Next dates available:
- To be Announced.
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: $369
Next dates available:
- To be Announced.
Natural Language Processing
This course is designed to give you an introduction to the algorithms,
techniques and software used in natural language processing (NLP).
Tuition: $369
Next dates available:
- August 20, 2010
Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $369
Next dates available:
- September 24, 2010
- March 19, 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: $369
Next dates available:
- October 01, 2010
- April 09, 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: $369
Next dates available:
- To be Announced.
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 (1 CEUs)
Next dates available:
- July 02, 2010
- February 26, 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: $369
Next dates available:
- November 05, 2010
Statistical Analysis of Microarray Data with R
This course will acquaint you with the process of microarray data mining from beginning to end. You will learn how to how to preprocess the data, estimate gene expression patterns, cluster genes to detect interesting gene expression patterns, and classify experiments (subjects) based on gene expression patterns. Illustrations of the statistical issues involved at the various stages of the analysis will use real data sets from DNA microarray experiments.
Tuition: $369 (1 CEUs)
Next dates available:
- October 22, 2010
- April 23, 2010
Text Mining
This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text.
Tuition: $369
Next dates available:
- June 18, 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: $369
Next dates available:
- January 22, 2010
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