Advanced Data Science Techniques in SPSS

Hone your SPSS skills to perfection – grasp the most high level data analysis methods available in the SPSS program.

What you’ll learn

Perform advanced linear regression using predictor selection techniques
Perform any type of nonlinear regression analysis
Make predictions using the k nearest neighbor (KNN) technique
Use binary (CART) trees for prediction (both regression and classification trees)
Use non-binary (CHAID) trees for prediction (both regression and classification trees)
Build and train a multilayer perceptron (MLP)
Build and train a radial basis funcion (RBF) neural network
Perform a two-way cluster analysis
Run a survival analysis using the Kaplan-Meier method
Run a survival analysis using the Cox regression
Validate the predictive techniques (KNN, trees, neural networks) using the validation set approach and the cross-validation
Save a predictive analysis model and use it for predictions on future new data