Data Analytics
You can get whole masters degrees in Data Analytics, so we can't cover even a tiny fraction of it
in one class. Instead, we're going to look at a couple interesting tools/areas and try them out.
Network Analysis
For this, you should get
Gephi.
We're going to use the Flickr API
to build an adjacency list and visualize it.
Here's a sample network
Weka
Weka is an awesome tool for doing machine learning. It lets you take data and either classify items
into categories (e.g. take text and classify the author as male or female) or to do regression
(predict a score on something).
We're going to try an example where we first transform this data into ARFF
format and then classify it.
http://archive.ics.uci.edu/ml/datasets/Housing