Gain the fundamental techniques used for predictive analytics, so you can implement an analytics practice in a practical way.
Learning Objectives
Identify the different techniques of predictive analytics: regression, classification, clustering, optimization, and simulation.;Calculate varying types of regressions using R and Excel.;Apply classification and clustering algorithms.;Apply business process optimization to problems by identifying goals and constraints.;Analyze the various probabilities of outcomes by applying Monte Carlo simulation.;Calculate performance of predictive analytic algorithms.
Major Topics
Predictive analytics techniques;Forecasting with data models;Finding relationships in data;Bivariate and multivariate linear regression;KNN classification;Clustering;Decision trees;Training models
