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Home > Credit > Programs >

PROGRAM IN ADVANCED STATISTICAL STUDIES

Engineering Statistics

Program Registration Fee: $395, plus individual course enrollment fees.

About this Program: This program provides the statistical skills required in engineering applications. Note that one or two of the courses listed here have multiple domain applications; Survival Analysis (commonly termed "Lifetime Analysis" in engineering), for example, is taught with many medical examples.

To Apply for this Program: click here

Prerequisite: You must have taken the equivalent of statistics.com's courses Introduction to Statistics 1, 2, and 3.

Estimated Core Course Tuition: $2214
Estimated Electives Course Tuition: $1107
Program Registration Fee: $395
Estimated Total Cost: $3716

The individual courses are payable as you register for each course or may be prepaid. Tuition and fees do not include the purchase of required course texts.

Core Courses (All required)

Probability Distributions
This course cover statistical probability distributions. Participants will learn how to identify which distribution(s) reasonably fit given data, and to evaluate the fit.
Tuition: $369
Next dates available:
- May 28, 2010
- November 12, 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: $369
Next dates available:
- April 23, 2010
- October 08, 2010

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: $369
Next dates available:
- March 26, 2010
- September 10, 2010

Engineering Statistics
The topics covered in this course include prediction intervals, tolerance intervals, calibration intervals, measurement error, accelerated life testing, measurement system appraisal, reliability and lifetime testing.
Tuition: $369
Next dates available:
- May 28, 2010

Introduction to Design of Experiments
This course will stress the application of DOE rather than statistical theory. With a 12-step checklist, it covers full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Teguchi designs.
Tuition: $369
Next dates available:
- February 19, 2010

Statistical Process Control
This course will will go beyond the basics of SPC and present some improved control chart methods, with better ways of determining control limits.
Tuition: $369
Next dates available:
- January 15, 2010

Elective Courses (3 required)

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.

Multivariate Statistics
This course covers key multivariate procedures such as classification, clustering, principal components and factor analysis.
Tuition: $369
Next dates available:
- July 16, 2010
- February 19, 2010

Categorical Data Analysis 2
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: $369
Next dates available:
- November 12, 2010
- May 14, 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: $369
Next dates available:
- February 26, 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: $369
Next dates available:
- September 10, 2010
- March 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: $369
Next dates available:
- December 17, 2010
- May 14, 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: $369
Next dates available:
- October 15, 2010

Advanced Design of Experiments
The aim of the course is to present advanced and important concepts that have received very little attention, such as designs for irregular experimental regions and Analysis of Means (ANOM).
Tuition: $369
Next dates available:
- April 09, 2010

Survival Analysis
The course describes the various methods used for modeling and evaluating survival data, or time-to event data.
Tuition: $369
Next dates available:
- September 24, 2010
- March 26, 2010