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Course Calendar

Year 2013

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January 2013

04 Friday Introduction to Statistical Modeling (4 weeks)
Practical Rasch Measurement - Core Topics (4 weeks)
Statistics 1 – Probability and Study Design WAITLIST (4 weeks)
Introduction to R - Statistical Analysis WAITLIST (4 weeks)
Introductory Statistics for Credit WAITLIST (8 weeks)
11 Friday Advanced Structural Equation Modeling (4 weeks)
Probability Distributions (4 weeks)
Data Mining - R (4 weeks)
18 Friday Decision Trees and Rule-Based Segmentation (4 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
Visualization in R with ggplot2 (4 weeks)
25 Friday R Programming - Advanced (4 weeks)
Biostatistics 1 (4 weeks)
Regression Analysis WAITLIST (4 weeks)

February 2013

01 Friday Introduction to Bayesian Statistics (4 weeks)
08 Friday Statistics 2 – Inference and Association WAITLIST (4 weeks)
Multivariate Statistics (4 weeks)
15 Friday Introduction to Design of Experiments (4 weeks)
22 Friday Introduction to Resampling Methods (3 weeks)
Analysis and Sensitivity Analysis for Missing Data (4 weeks)

March 2013

01 Friday Statistics 1 – Probability and Study Design WAITLIST (4 weeks)
Introduction to R - Data Handling WAITLIST (4 weeks)
Introduction to R - Statistical Analysis (4 weeks)
Introductory Statistics for Credit WAITLIST (8 weeks)
Maximum Likelihood Estimation (2 weeks)
08 Friday Modeling in R (4 weeks)
Introduction to Bayesian Computing and Techniques (4 weeks)
Biostatistics 2 (4 weeks)
Wrangling and Munging Data with SQL and R (4 weeks)
15 Friday Statistics 3 – ANOVA and Regression (3 weeks)
Survival Analysis (4 weeks)
Logistic Regression (4 weeks)
22 Friday Adaptive Designs for Clinical Trials (4 weeks)
Survey Analysis in R (4 weeks)
Matrix Algebra Review (4 weeks)
29 Friday Categorical Data Analysis (4 weeks)
Forecasting Analytics (4 weeks)

April 2013

05 Friday Statistics 2 – Inference and Association WAITLIST (4 weeks)
Introduction to Predictive Modeling FEW SEATS LEFT (4 weeks)
Generalized Linear Models (4 weeks)
Meta Analysis WAITLIST (4 weeks)
12 Friday Discrete Choice Modeling and Conjoint Analysis (4 weeks)
Introduction to Quantitative Risk Analysis (4 weeks)
R Programming - Intermediate (4 weeks)
R Programming - Introduction (4 weeks)
19 Friday Statistical Analysis of Microarray Data with R (4 weeks)
Survey of Statistics for Beginners (3 weeks)
26 Friday Advanced Logistic Regression (4 weeks)
Bayesian Regression Modeling via MCMC Techniques (4 weeks)
Interactive Data Visualization (4 weeks)

May 2013

03 Friday Statistics 1 – Probability and Study Design WAITLIST (4 weeks)
Graphics in R (4 weeks)
Introductory Statistics for Credit WAITLIST (8 weeks)
10 Friday Mixed and Hierarchical Linear Models (4 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
Introduction to R - Data Handling (4 weeks)
Spatial Statistics with Geographic Information Systems (4 weeks)
Advanced Survival Analysis (4 weeks)
17 Friday Financial Risk Modeling (4 weeks)
Regression Analysis FEW SEATS LEFT (4 weeks)
Introduction to Structural Equation Modeling FEW SEATS LEFT (4 weeks)
Sample Size and Power Determination FEW SEATS LEFT (4 weeks)
24 Friday Principal Components and Factor Analysis (4 weeks)
Prediction & Tolerance Intervals; Measurement and Reliability (4 weeks)
Modeling Count Data (4 weeks)
Biostatistics in R: Clinical Trial Applications (4 weeks)
31 Friday Epidemiologic Statistics (4 weeks)
Practical Rasch Measurement - Core Topics (4 weeks)

June 2013

07 Friday Introduction to Statistics 1 AP: Inference for a Single Variables (3 weeks)
Statistics 2 – Inference and Association FEW SEATS LEFT (4 weeks)
Calculus Review (3 weeks)
Text Mining (4 weeks)
14 Friday Introduction to Assessment and Measurement (4 weeks)
R Programming - Advanced (4 weeks)
Logistic Regression (4 weeks)
21 Friday Introduction to Bayesian Hierarchical and Multi-level Models (4 weeks)
Introduction to Smoothing and P-spline Techniques using R (4 weeks)
Introduction to Statistical Issues in Clinical Trials (4 weeks)
Probability Distributions (4 weeks)
28 Friday Advanced Structural Equation Modeling (4 weeks)
Data Mining - R (4 weeks)
Matrix Algebra Review (4 weeks)

July 2013

05 Friday Practical Rasch Measurement - Further Topics (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
Introduction to Bayesian Statistics (4 weeks)
Introduction to Resampling Methods (3 weeks)
Introductory Statistics for Credit (8 weeks)
12 Friday Introduction to Statistics 2 AP: Working with Bivariate Data (3 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
Multivariate Statistics (4 weeks)
Survey Design and Sampling Procedures (4 weeks)
19 Friday Modeling Longitudinal and Panel Data (4 weeks)
Natural Language Processing (4 weeks)
Meta Analysis (4 weeks)
26 Friday Introduction to R - Statistical Analysis (4 weeks)
Clinical Trials - Phamacokinetics and Bioequivalence (4 weeks)
Visualization in R with ggplot2 (4 weeks)

August 2013

02 Friday Maximum Likelihood Estimation (2 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
Introductory Statistics for Credit (8 weeks)
09 Friday Many-Facet Rasch Measurement (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
Biostatistics 1 (4 weeks)
Sample Size using PASS software from NCSS (4 weeks)
Biostatistics for Credit (9 weeks)
16 Friday Survey Analysis (4 weeks)
Introduction to Social Network Analysis (SNA) (4 weeks)
23 Friday Introduction to Optimization (4 weeks)
R Programming - Introduction (4 weeks)
30 Friday Sentiment Analysis (3 weeks)
Modeling in R (4 weeks)
Meta Analysis 2 (4 weeks)
Designing Valid Statistical Studies (4 weeks)

September 2013

06 Friday Statistics 1 – Probability and Study Design (4 weeks)
Introduction to Predictive Modeling (4 weeks)
Logistic Regression (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
Introductory Statistics for Credit (8 weeks)
13 Friday Rasch Applications in Clinical Assessment, Survey Research, and Educational Measurement (4 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
Introduction to R - Data Handling (4 weeks)
Forecasting Analytics (4 weeks)
Biostatistics 2 (4 weeks)
20 Friday Introduction to Quantitative Risk Analysis (4 weeks)
Survival Analysis (4 weeks)
Introduction to Bayesian Computing and Techniques (4 weeks)
Bootstrap Methods (4 weeks)
27 Friday Categorical Data Analysis (4 weeks)
Advanced Optimization (4 weeks)
Calculus Review (3 weeks)
Wrangling and Munging Data with SQL and R (4 weeks)

October 2013

04 Friday Regression Analysis (4 weeks)
Missing Data (4 weeks)
Introduction to R - Statistical Analysis (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
Introductory Statistics for Credit (8 weeks)
11 Friday Data Mining: Unsupervised Techniques (4 weeks)
Analysis of Survey Data from Complex Sample Designs (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
Ecological and Environmental Sampling (4 weeks)
Data Mining Mistakes and How to Avoid Them (2 weeks)
18 Friday Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Studies (4 weeks)
Statistical Analysis of Microarray Data with R (4 weeks)
Modeling Count Data (4 weeks)
Graphics in R (4 weeks)
Practical Rasch Measurement - Core Topics (4 weeks)
25 Friday R Programming - Intermediate (4 weeks)
Safety Monitoring Committees in Clinical Trials (4 weeks)
Interactive Data Visualization (4 weeks)

November 2013

01 Friday Cluster Analysis (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
Matrix Algebra Review (4 weeks)
Introductory Statistics for Credit (8 weeks)
08 Friday Categorical Data - Applied Modeling (4 weeks)
Introduction to R - Data Handling (4 weeks)
Advanced Survival Analysis (4 weeks)
Introduction to Structural Equation Modeling (4 weeks)
Spatial Statistics with Geographic Information Systems (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
15 Friday Statistics 3 – ANOVA and Regression (3 weeks)
Bayesian Environmental Statistics (4 weeks)
Bayesian Regression Modeling via MCMC Techniques (4 weeks)
22 Friday Sample Size and Power Determination (4 weeks)
Survey of Statistics for Beginners (3 weeks)
Generalized Linear Models (4 weeks)
Risk Simulation and Queuing (4 weeks)
29 Friday Maximum Likelihood Estimation (2 weeks)

December 2013

06 Friday Statistics 1 – Probability and Study Design (4 weeks)
13 Friday Spatial Analysis Techniques in R (5 weeks)
Statistics 2 – Inference and Association (4 weeks)
Introduction to Statistical Issues in Clinical Trials (5 weeks)

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Hartford Hospital, Hartford, CT, USA
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Hartford Hospital, Hartford, CT, USA
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