Link to Content:
The Institute for Statistics Education
Mr. Anthony Babinec
Dr. Galit Shmueli
Content Found Via:
$389.00 - $589.00
Tags: apriori algorithm / association rules / cluster analysis / clustering / combining methods / confidence / dendrograms / dimension reduction / elbow charts / hierarchical clustering / k-means / network analytics / predictive analytics / Principal Components Analysis (PCA) / supervised learning / support / text analytics / unsupervised learning / validation / within-cluster homogeneity
“Data mining, the art and science of learning from data, covers a number of different procedures. In this online course, “Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules,” you will cover key unsupervised learning techniques: association rules, principal components analysis, and clustering. Predictive Analytics 3 will include an integration of supervised and unsupervised learning techniques.
This is a hands-on course — participants in the course will have access to an Excel-based comprehensive tool for data-mining, XLMiner, the use of which will be explained in the course. Participants will apply data mining algorithms to real data, and will interpret the results.
A final project will integrate an unsupervised task with supervised methods covered in predictive Analytics 1 and 2 (though the unsupervised methods taught in the rest of the course stand on their own and can be studied without having taken those courses).”
Recommended Prerequisites: Statistics, Probability and Study Design, Inference and Association.
Predictive Analytics 1 at Statistics.com