Course Calendar

Year 2015

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April 2015

03FridayGeneralized Linear Models(4 weeks)
R for Statistical Analysis(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(8 weeks)
R Programming - Intermediate(4 weeks)
Meta Analysis(4 weeks)
10FridayDiscrete Choice Modeling and Conjoint Analysis(4 weeks)
R Programming - Introduction 2(4 weeks)
Categorical Data Analysis(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
17FridaySample Size and Power Determination(4 weeks)
Maximum Likelihood Estimation(2 weeks)
Survey of Statistics for Beginners(3 weeks)
Introduction to SAS Programming for Analytics(4 weeks)
Intro Stats Preview(1 weeks)
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules(4 weeks)

May 2015

01FridayGraphics in R(4 weeks)
Mapping in R(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(9 weeks)
Risk Simulation and Queuing(4 weeks)
08FridayMixed and Hierarchical Linear Models(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Sentiment Analysis(3 weeks)
Spatial Statistics with Geographic Information Systems(4 weeks)
R Programming - Introduction 1(4 weeks)
15FridayIntroduction to Structural Equation Modeling(4 weeks)
Financial Risk Modeling(4 weeks)
Statistics 3 – ANOVA and Regression(3 weeks)
Regression Analysis(4 weeks)
Introduction to Python for Analytics(4 weeks)
22FridayPrincipal Components and Factor Analysis(4 weeks)
R Programming - Advanced(4 weeks)
Biostatistics in R: Clinical Trial Applications(4 weeks)
Modeling Count Data(4 weeks)
Introduction to Bayesian Hierarchical and Multi-level Models(4 weeks)
Intro Stats Preview(1 weeks)
29FridayPrediction & Tolerance Intervals; Measurement and Reliability(4 weeks)
Advanced Analytics and Machine Learning with Hadoop(4 weeks)
Predictive Analytics 1 - Machine Learning Tools(4 weeks)
Practical Rasch Measurement - Core Topics(4 weeks)

June 2015

05FridayCluster Analysis(4 weeks)
Calculus Review(3 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Introductory Statistics for Credit(8 weeks)
12FridayInteractive Data Visualization(4 weeks)
Text Mining(4 weeks)
R Programming - Introduction 2(4 weeks)
Introduction to Statistical Modeling(4 weeks)
19FridayProbability Distributions(4 weeks)
Introduction to Smoothing and P-spline Techniques using R(4 weeks)
Introduction to Statistical Issues in Clinical Trials(4 weeks)
Natural Language Processing Using NLTK(4 weeks)
Intro Stats Preview(1 weeks)
26FridayData Mining - R(4 weeks)
Advanced Structural Equation Modeling(4 weeks)
Matrix Algebra Review(4 weeks)

July 2015

03FridayIntroduction to Resampling Methods(3 weeks)
Predictive Analytics 2 - Neural Nets and Regression(4 weeks)
Applied Predictive Analytics(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(8 weeks)
Introduction to Bayesian Statistics(4 weeks)
Practical Rasch Measurement - Further Topics(4 weeks)
10FridayStatistics 2 – Inference and Association(4 weeks)
Statistics 3 – ANOVA and Regression(3 weeks)
Designing Valid Statistical Studies(4 weeks)
Multivariate Statistics(4 weeks)
17FridayNatural Language Processing(4 weeks)
Modeling Longitudinal and Panel Data(4 weeks)
24FridayR for Statistical Analysis(4 weeks)
Visualization in R with ggplot2(4 weeks)
Clinical Trials - Phamacokinetics and Bioequivalence(4 weeks)
Meta Analysis(4 weeks)
31FridayForecasting Analytics(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(8 weeks)
R Programming - Introduction 1(4 weeks)

August 2015

07FridaySurvey Design and Sampling Procedures(4 weeks)
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules(4 weeks)
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules(4 weeks)
SQL and R - Introduction to Database Queries(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Biostatistics 1 for Medical Science and Public Health(4 weeks)
Biostatistics for Credit(8 weeks)
14FridayIntroduction to Social Network Analysis (SNA)(4 weeks)
Many-Facet Rasch Measurement(4 weeks)
21FridayIntroduction to Optimization(4 weeks)
Sentiment Analysis(3 weeks)
Modeling in R(4 weeks)
Introduction to Item Response Theory (IRT)(4 weeks)
28FridayPersuasion Analytics and Targeting(4 weeks)
Meta Analysis 2(4 weeks)
Introduction to Bayesian Computing and Techniques(4 weeks)

September 2015

04FridayLogistic Regression(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Introductory Statistics for Credit(8 weeks)
Biostatistics 2 for Medical Science and Public Health(4 weeks)
Rasch Applications, Part 1: How to Construct a Rasch Scale(6 weeks)
11FridayR Programming - Introduction 2(4 weeks)
Statistics 3 – ANOVA and Regression(3 weeks)
Introduction to Python for Analytics(4 weeks)
Survey Analysis(4 weeks)
18FridayBootstrap Methods(4 weeks)
Natural Language Processing Using NLTK(4 weeks)
Social Data Mining With Python(4 weeks)
Survival Analysis(4 weeks)
25FridayBayesian Statistics in R(4 weeks)
R Programming - Intermediate(4 weeks)
Predictive Analytics 1 - Machine Learning Tools(4 weeks)
Advanced Optimization(4 weeks)

October 2015

02FridayR for Statistical Analysis(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(8 weeks)
Regression Analysis(4 weeks)
Missing Data(4 weeks)
09FridayGraphics in R(4 weeks)
Calculus Review(3 weeks)
Categorical Data Analysis(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Data Mining - R(4 weeks)
Introduction to SAS Programming for Analytics(4 weeks)
16FridayPredictive Analytics 3: Dimension Reduction, Clustering and Association Rules(4 weeks)
Analysis of Survey Data from Complex Sample Designs(4 weeks)
Practical Rasch Measurement - Core Topics(4 weeks)
23FridayBayesian Regression Modeling via MCMC Techniques(4 weeks)
Rasch Applications, Part 2: Clinical Assessment, Survey Research, and Educational Measurement(4 weeks)
Safety Monitoring Committees in Clinical Trials(4 weeks)
30FridayInteractive Data Visualization(4 weeks)
Predictive Analytics 2 - Neural Nets and Regression(4 weeks)
Introduction to Analytics using Hadoop(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(8 weeks)
Spatial Statistics with Geographic Information Systems(4 weeks)
Modeling Count Data(4 weeks)

November 2015

06FridayIntroduction to Structural Equation Modeling(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
R Programming - Introduction 1(4 weeks)
Advanced Survival Analysis(4 weeks)
13FridayEpidemiologic Statistics(5 weeks)
Statistics 3 – ANOVA and Regression(3 weeks)
Matrix Algebra Review(4 weeks)
SQL and R - Introduction to Database Queries(4 weeks)
20FridaySample Size and Power Determination(4 weeks)
Mapping in R(4 weeks)
Survey of Statistics for Beginners(4 weeks)
Risk Simulation and Queuing(4 weeks)
27FridayMaximum Likelihood Estimation(2 weeks)
Forecasting Analytics(4 weeks)

December 2015

11FridayIntroduction to Statistical Issues in Clinical Trials(4 weeks)
Statistics 2 – Inference and Association(5 weeks)
Spatial Analysis Techniques in R(5 weeks)

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