Training Wishlist

 
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2013 is the international year of statistics. Revolution Analytics is seeking inputs on your wishlist of course topics for 2013. (These are potential topics for coverage rather than individual courses).

And if you have time, we would love to have you participate in shaping/teaching these topics. Join the R-Revolution!
1. Methods of data science (Detailed coverage of topics in the URL)
(If no option is checked against a topic, it would be considered as not relevant)
Not relevant to meI am familiar with this alreadyI am interested in learning more
Probability Distributions (http://bit.ly/RProbability)
Statistical Tests (http://bit.ly/RStatTests)
Machine Learning (http://bit.ly/RMachine)
Decision Trees
Optimization and Mathematical Programming (http://bit.ly/ROptim)
Signal Processing (http://bit.ly/RSignal)
Simulations and Random Number Generation (http://bit.ly/RSimulation)
Linear Models (http://bit.ly/RModeling)
Multivariate Statistics
State Space Models
Smoothing and P-spline Techniques
Design of Experiments (DoE) & Analysis of Experimental Data
Time Series Analysis
Survival Analysis
Spatial statistics
Robust Statistical Methods
Principal Components Analysis
Ensemble Models
Bootstap Methods
Agent Based Modeling
Data Mining best practices
Reproducible research
Social Network Analysis
Monte Carlo Methods
Bayesian Methods
Imputation and Missing data
2. R Programming, Data Management and Visualization
Not relevant to meI am familiar with this alreadyI am interested in learning more
Introduction to R
R as a second language (to SAS,SPSS,Stata, Matlab etc)
R Input/Output (http://bit.ly/RInOut)
Data Manipulation
Grid graphics programming
Performance Management
Object Oriented Programming (http://bit.ly/RObject)
R-Package Development
Visualization -ggplot2
Visualization -lattice
Interactive Visualization (ggobi, cranvas, animation, GoogleVis)
Integration with other environments (C,JAVA, Perl, Python,Web services)
R and C++ with RCPP
Programming Graphical Interfaces
UI Building using Shiny
3. Big data
Not relevant to meI am familiar with this alreadyI am interested in learning more
Bigdata Analytics (http://bit.ly/RBigdata)
Parallel Computing
Using R with Hadoop
Using R with Cassandra
Using R with MongoDB
GPU Computing with R
Text Analytics
Natural Language Processing
Medical Image Analysis
Real Time Big data Analytics
Mapreduce Algorithms (LWLR,NB,GDA,K-means, LR,NN,PCA, ICA,EM,SVM)
4. Business Applications - Retail/Marketing
Not relevant to meI am familiar with this alreadyI am interested in learning more
Product Segmentation
Customer Segmentation
Offer/Markdown Optimization
RFM Model
Up-sell/Cross-sell
Life Time Value
Churn / attrition modeling
Brand / customer equity analysis
Market Research/Market Measurement
Marketing Optimization
Market Basket Analysis (Recommendation Engines)
Pricing
Salesforce Optimization
Demand Planning
Web Experience Analytics and A/B Testing
Supply Chain Optimization
Ad Optimization
Sentiment Analysis
5. Business Applications - Finance
Not relevant to meI am familiar with this alreadyI am interested in learning more
Asset Pricing
Financial Time Series/Wavelets
Trading Strategy Development
Performance Attribution and Risk Management
Portfolio Optimization
Credit Risk Modeling
Fraud Analytics
6. Business Applications - Insurance
Not relevant to meI am familiar with this alreadyI am interested in learning more
Loss Models
Non-life insurance Pricing
Life Insurance Pricing
Enterprise Risk Management
Claims Analytics
7. Business Applications - Life Sciences and others
Not relevant to meI am familiar with this alreadyI am interested in learning more
Intro to R and BioConductor
Genetic Analysis
Clinical Trials
Social Network Analysis and Payer Fraud detection
Six Sigma
Survey Analysis and Official Statistics
8. I would like to be involved in building, reviewing, teaching courses on some of the above topics. (If checked please ensure that you fill in the contact information next page)
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