Introduction:

SAS Predictive Modelling Training: Learn Predictive Modeling Using SAS, building the applications of Neural Networks, identify statistically significant attributes or risk factors, segmentation, association, and sequence analyses of variance, simple linear regression and categorical data analysis., etc. You will also get an exposure to industry based real-time projects in various verticals.

Course Content:

1.Applied Analytics Using SAS Enterprise Miner 5.3 (IND1Z)

• Introduction
• Accessing and Assaying Prepared Data
• Introduction to Predictive Modeling with Decision Trees
• Introduction to Predictive Modeling with Regressions
• Introduction to Predictive Modeling with Neural Networks and Other Modeling Tools
• Model Assessment
• Model Implementation
• Introduction to Pattern Discovery
• Special Topics (Self-Study)
• Case Studies (Self-Study)

2.Enterprise Guide: ANOVA Regression And Logistic Regression (IND83)

• Introduction to Statistics
• Inferences for the Mean
• Analysis of Variance
• Regression
• Regression Diagnostics
• Categorical Data Analysis