statistics.com: Statistics for Environmental Science Program

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Home > Credit > Programs >

PROGRAM IN ADVANCED STATISTICAL STUDIES

Statistics for Environmental Science

Program Registration Fee: $295, plus individual course enrollment fees.

About this Program: This Program is aimed at environmental scientists and other professionals involved in environmental research, including the design and implementation of environmental studies. It emphasizes statistical modeling.

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: $722
Program Registration Fee: $295
Estimated Total Cost: $3231

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)

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: $369
Next dates available:
- March 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: $369
Next dates available:
- February 26, 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: $369
Next dates available:
- November 27, 2009
- May 14, 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

Categorical Data Analysis 1
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: $369
Next dates available:
- April 09, 2010
- October 01, 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

Elective Courses (2 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.

Introductory Bayesian Modeling via MCMC Techniques
This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WINBUGS software.
Tuition: $369
Next dates available:
- September 10, 2010
- March 12, 2010

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

Randomization, Permutation and Exact Tests
Online course in randomization (permutation) tests.
Tuition: $369
Next dates available:
- April 24, 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

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

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