Predictive Modeling with Ensembles and XAI: Advanced Techniques for Deeper Insights
Duration: One Day Course
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process.
Join us for a problem-focused, applied experience where you learn to apply the analytics process to produce meaningful and valuable insights.
You Will Learn
- To understand and classify different types of data science problems
- How to discern the characteristics of common data science scenarios
- Ways to outline which analytical problems are suited to which analytic models
- To match data science problems to the best-fit models to solve them
- Examples that walk through how to apply different aspects of the analytics process
- Business analysts, data analysts, and data scientists who need to frame analytics problems and choose the most effective ways to solve those problems
- Business and technical managers who need to understand the nature of analytics and data science work
- BI and analytics developers who work with data scientists
- Anyone who aspires to become a data analyst, business analyst, or data scientist