The IBM Predictive Analytics Modeler course provides the essential analytics tools to collect and analyze data efficiently in order to predict problems and improve outcomes. Specific skills include data mining and modeling (CRISP-DM), storage and field measurement, data collection and integration, data cleaning, nodes and streams, and statistical analysis. Software platform in this course is IBM SPSS Modeler.

If you do not have prior knowledge, we recommend taking the Predictive Analytics Essentials DATA9102 course first.

Market Demand

View Available Positions In Calgary

Data Modelling
Data Mining
Data Integration
Data Collection
Data Analysis

IBM Skills Academy Overview