logo.gif The leading source for professional development COURSES in statistics
 ÖÐÎÄ Course Login
Home > Courses >

COURSE CALENDAR

July 2008
   4 Friday Practical Rasch Measurement - Core Topics (4 weeks)
    Introduction to Resampling Methods (3 weeks)
   11 Friday Introduction to Biostatistics (4 weeks)
    Introduction to Statistics 2 AP: Working with Bivariate Data (3 weeks)
    Survey Design and Sampling Procedures (4 weeks)
    Introduction to Statistics for Beginners (3 weeks)
August 2008
   1 Friday Survey of Statistics for Beginners (3 weeks)
    Modeling Longitudinal and Panel Data (4 weeks)
    Advanced Statistical Process Control (3 weeks)
   8 Friday Introduction to Statistics 1: Inference for a Single Variable (3 weeks)
    Survey Analysis (4 weeks)
    Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
   29 Friday Modeling in R (4 weeks)
    Nonparametric Statistics (4 weeks)
September 2008
   5 Friday Introduction to Statistics 2: Working with Bivariate Data (3 weeks)
    Bias in Epidemiologic Research (4 weeks)
    Advanced Structural Equation Modeling (4 weeks)
    Introduction to R - Statistical Analysis (4 weeks)
   12 Friday Introduction to Data Mining (4 weeks)
    Spatial Statistics With Geographic Information Systems (4 weeks)
   19 Friday Clinical Trial Design (5 weeks)
    Forecasting Time Series (4 weeks)
   26 Friday Survival Analysis (4 weeks)
    Bootstrap Methods (4 weeks)
    Natural Language Processing (4 weeks)
October 2008
   3 Friday Categorical Data Analysis 1 (4 weeks)
    Regression Analysis (4 weeks)
    Introduction to Quantitative Risk Analysis (4 weeks)
   10 Friday Introduction to Statistics 1: Inference for a Single Variable (3 weeks)
    Analysis of Epidemiologic Data (4 weeks)
    Statistics of Environmental Impact Assessment (4 weeks)
    Introduction to R - Data Handling (4 weeks)
   17 Friday Data Mining: Unsupervised Techniques (4 weeks)
    Engineering Statistics (4 weeks)
   24 Friday Introduction to Bayesian Statistics (4 weeks)
    Modeling Count Data (4 weeks)
   31 Friday Statistical Analysis of Microarray Data with R (5 weeks)
    Cluster Analysis (4 weeks)
    Logistic Regression (4 weeks)
November 2008
   7 Friday Graphics in R (4 weeks)
   14 Friday Introduction to Structural Equation Modeling (4 weeks)
   21 Friday Missing Data Analysis (4 weeks)
    Bayesian Approaches to Clinical Trials (4 weeks)
   28 Friday Sample Size and Power Determination (4 weeks)
December 2008
   5 Friday Meta Analysis (4 weeks)
January 2009
   16 Friday Statistical Process Control (4 weeks)
   23 Friday Decision Trees and Rule-Based Segmentation (4 weeks)
February 2009
   6 Friday Analysis of Nonnormal Data (4 weeks)
   13 Friday Using the Census's American Community Survey (4 weeks)
   20 Friday Introduction to Design of Experiments (4 weeks)
   27 Friday Ecological and Environmental Sampling (4 weeks)
March 2009
   20 Friday Forecasting Time Series (4 weeks)
   27 Friday Survival Analysis (4 weeks)
    Bootstrap Methods (4 weeks)
April 2009
   3 Friday Discrete Choice Modeling and Conjoint Analysis (4 weeks)
   10 Friday Meta Analysis (4 weeks)
    Advanced Design of Experiments (4 weeks)
    Categorical Data Analysis 1 (4 weeks)
    Introduction to Quantitative Risk Analysis (4 weeks)
May 2009
No courses currently scheduled
June 2009
No courses currently scheduled
July 2009
No courses currently scheduled
August 2009
No courses currently scheduled
September 2009
No courses currently scheduled