SPSS Statistics: advanced analysis V26 (0G09BG)

• Anyone with forty variables who needs them reduced to something interpretable.
• Teams wanting to segment customers or cases with no label to start from.
• Anyone measuring time until something happens: churn, failure, dropout.

• Introduction to advanced statistical analysis
• Grouping variables: Factor Analysis and Principal Components Analysis
• Grouping cases: Cluster Analysis
• Predicting categorical targets with Nearest Neighbor Analysis
• Predicting categorical targets with Discriminant Analysis
• Predicting categorical targets with Logistic Regression
• Predicting categorical targets with Decision Trees
• Introduction to Survival Analysis
• Introduction to Generalized Linear Models
• Introduction to Linear Mixed Models

• Labs on IBM SPSS Statistics with real datasets: every statistical test is run and interpreted during the course.
• Taught directly by IBM Champion instructors from the SIXE team.
• Credly badges available: credly.com/organizations/sixe/badges
• Flexible format — online, classroom or onsite — in closed groups, priced per attendee, in the language of your choice (ES / EN / FR).

How does it differ from the statistical analysis course?
statistical analysis (0G51BG) works with one dependent variable at a time. This one goes multivariate: several variables at once, grouping, and models that predict categories.

Are the methods compared against each other?
Yes: predicting a categorical target is covered four ways — nearest neighbour, discriminant, logistic regression and trees — along with when each one fits, which is the question a manual does not settle.

Can you deliver it at our premises?
Yes, and remotely with a live instructor too. Closed groups of four to ten people, in Spanish, English or French.

• 0G51BG — statistical analysis (V26)
• 0G53BG — using the software (V26)
• 0A069G — SPSS Modeler foundations