Main Themes Few vs. Many Variables Linear vs. Non-Linear Statistics vs. Machine Learning

Number of Variables Analyzed Week Regression Correlation

Number of Variables / Observations A few variables vs. many variables A few observations vs. a ton of variables

Few Yes No Many Time Series Number of Variables PEW Mobile Phone Galton Children Height Census Text Sentiment Old Faithful Web Analytics Titanic Survivors Bank Loans Stock Market

Principle Components Analysis

People Variables Cluster Analysis

Linear Regression

Compare and Contrast

Tom Brady Not Tom Brady Machine Learning

Excel

R and Data Mining

Intermediate Book We will use the front part of chapters that are more conceptual, along with some of the case studies.