Course Calendar

Year 2014

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July 2014

04FridayPractical Rasch Measurement - Further Topics(4 weeks)
Introduction to Resampling Methods(3 weeks)
Introduction to Bayesian Statistics(4 weeks)
11FridayStatistics 3 – ANOVA and Regression(3 weeks)
Introduction to Statistics 2 AP: Working with Bivariate Data(3 weeks)
Multivariate Statistics(4 weeks)
Survey Design and Sampling Procedures(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
18FridayModeling Longitudinal and Panel Data(4 weeks)
Natural Language Processing(4 weeks)
Predictive Analytics 1 - Machine Learning Tools(4 weeks)
25FridayClinical Trials - Phamacokinetics and Bioequivalence(4 weeks)
R for Statistical Analysis(4 weeks)
Visualization in R with ggplot2(4 weeks)
Meta Analysis(4 weeks)

August 2014

01FridayStatistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(9 weeks)
R Programming - Introduction 1(4 weeks)
SQL and R - Introduction to Database Queries(4 weeks)
08FridayStatistics 2 – Inference and Association(4 weeks)
Many-Facet Rasch Measurement(4 weeks)
Biostatistics 1(4 weeks)
Biostatistics for Credit(9 weeks)
15FridaySurvey Analysis(4 weeks)
Introduction to Social Network Analysis (SNA)(4 weeks)
22FridayIntroduction to Optimization(4 weeks)
Modeling in R(4 weeks)
Predictive Analytics 2 - Neural Nets and Regression(4 weeks)
Introduction to Item Response Theory (IRT)(4 weeks)
29FridayMeta Analysis 2(4 weeks)
Sentiment Analysis(3 weeks)
Introduction to Bayesian Computing and Techniques(4 weeks)
Political Analytics(4 weeks)

September 2014

05FridayStatistics 1 - Probability and Study Design(4 weeks)
Rasch Applications, Part 1: How to Construct a Rasch Scale(4 weeks)
Logistic Regression(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
Introductory Statistics for Credit(9 weeks)
R Programming - Introduction 2(4 weeks)
12FridayStatistics 3 – ANOVA and Regression(3 weeks)
Biostatistics 2(4 weeks)
Forecasting Analytics(4 weeks)
Introduction to Python for Analytics(4 weeks)
19FridaySurvival Analysis(4 weeks)
Bootstrap Methods(4 weeks)
Mapping in R(4 weeks)
Social Data Mining With Python(4 weeks)
Natural Language Processing Using NLTK(4 weeks)
26FridayAdvanced Optimization(4 weeks)
Bayesian Statistics in R(4 weeks)
Categorical Data Analysis(4 weeks)
R Programming - Intermediate(4 weeks)
Applied Predictive Analytics, in partnership with CrowdANALYTIX(4 weeks)

October 2014

03FridayMissing Data(4 weeks)
Regression Analysis(4 weeks)
R for Statistical Analysis(4 weeks)
Statistics 1 - Probability and Study Design(4 weeks)
Introductory Statistics for Credit(10 weeks)
10FridayStatistics 2 – Inference and Association(4 weeks)
Analysis of Survey Data from Complex Sample Designs(4 weeks)
Graphics in R(4 weeks)
Calculus Review(3 weeks)
17FridayPractical Rasch Measurement - Core Topics(4 weeks)
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules(4 weeks)
24FridaySafety Monitoring Committees in Clinical Trials(4 weeks)
Bayesian Regression Modeling via MCMC Techniques(4 weeks)
Predictive Analytics 1 - Machine Learning Tools(4 weeks)
31FridayCluster Analysis(4 weeks)
Modeling Count Data(4 weeks)
Introduction to Analytics using Hadoop(4 weeks)
Spatial Statistics with Geographic Information Systems(4 weeks)
Rasch Applications, Part 2: Clinical Assessment, Survey Research, and Educational Measurement(4 weeks)
Interactive Data Visualization(4 weeks)

November 2014

07FridayStatistics 1 - Probability and Study Design(4 weeks)
Introduction to Structural Equation Modeling(4 weeks)
Advanced Survival Analysis(4 weeks)
Introductory Statistics for Credit(10 weeks)
R Programming - Introduction 1(4 weeks)
14FridayStatistics 3 – ANOVA and Regression(3 weeks)
Epidemiologic Statistics(5 weeks)
Matrix Algebra Review(4 weeks)
Statistics 2 – Inference and Association(4 weeks)
21FridayRisk Simulation and Queuing(4 weeks)
Introduction to Bayesian Hierarchical and Multi-level Models(4 weeks)
Survey of Statistics for Beginners(3 weeks)
Sample Size and Power Determination(4 weeks)
28FridayMeta Analysis(4 weeks)
Maximum Likelihood Estimation(1 weeks)
Predictive Analytics 2 - Neural Nets and Regression(4 weeks)

December 2014

05FridayStatistics 1 - Probability and Study Design(5 weeks)
Introductory Statistics for Credit(9 weeks)
Advanced Analytics and Machine Learning with Hadoop(4 weeks)
12FridayStatistics 2 – Inference and Association(5 weeks)
Introduction to Statistical Issues in Clinical Trials(5 weeks)
Spatial Analysis Techniques in R(4 weeks)

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