Course Description

This course develops the skills needed to analyze and predict information using BDA Analytics. In today's business climate, business users must be able to address the problems presented by big data, drawn from both structured and unstructured sources. Analytics supports selecting, grouping, analyzing, and presenting big data in a way that makes it actionable. Analytics enables a business user to process massive amounts of data, predict business outcomes, and make informed decisions. By making better decisions faster, business strategists can deliver vibrant and informative visual analysis of inherent trends in big data.

This is a highly interactive, instructor led class providing many opportunities for students to ask questions, explore new areas, and receive help from the instructor as they work through the exercises.

Topics:

• Work areas
• Modules
• Aggregates
• Decodes
• Expressions
• Numeric ranges
• Quantiles
• Parametrics
• Ranking
• Crosstabs
• Venn/Bubble
• Evolution
• Profiles
• Maps
• Pareto
• Preprocessing
• Clustering
• Decision tree
• Forecasting
• Association rules

Prerequisites