This course introduces the building blocks needed to implement predictive capabilities within an organization. It also helps develop the necessary understanding about how models, people, and decision processes must interact to drive actual business impact. Techniques based on statistics, probability, linear regression, logistic regression, and decision trees are described as key enablers for creating predictive models. Additional topics related to problem framing, data profiling, data preparation, model evaluation, human factors, leadership, and organizational culture are presented as additional and necessary ingredients for success.
There are no prerequisites for this course.
Module 1 - Predictive Analytics Concepts
Module 2 - Understanding Models
Module 3 - Regression Model Examples
Module 4 - Building Predictive Models
Module 5 - Implementing Predictive Capabilities
Module 6 - Human Factors in Predictive Analytics
Module 7 - Getting Started with Predictive Analytics
Join our public courses in our Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.