Aleks noticed this interesting-looking course:

Course Contents
Predictive Analytics and Exploratory Data Mining

* the relationship between predictive analytics and exploratory data mining
* the role of graphics in exploratory analysis
* complexity in a PowerPoint world
* the analyst’s dilemma

Working with Unstructured Data

* data streams versus structured data
* social network analysis as a solution to unstructured problems
* statistical mechanics of network analyses
* predicting with a network
* complex networks versus reductionism

Exploratory Data Mining and Predictive Models

* exploratory data mining success
* predictive modeling methods
* logistic regression
* decision trees
* neural networks
* the truth about neural networks
* comparing and contrasting predictive modeling methods
* model structure and impact on exploratory results
* graphical review of model results
* multi-dimensional graphics

Exploratory Predictive Modeling

* initial data screening
* elements of an exploratory script
* developing complex predictive models for exploratory efforts
* identifying important variables
* analyzing variables, domains, and clusters
* graphical review of models and data

Exploratory Findings

* extracting new hypotheses (exploratory findings) from the predictive model
* building confidence with the exploratory findings
* recognizing and overcoming impediments to acceptance by the target audience

Remind me again why we teach classes on boring topics like “categorical data anlysis” . . .