Now with analytics you can predict and prevent traffic congestions.

People spend 30% of their time and income on daily commutes. Public transportation agencies are challenged to find ways to increase convenience, improve the travel experience and lower costs. Business analytics uses real-time data to anticipate and control congestions, helping traffic systems flow smoothly. The Predictive Analytics Modeler will learn the essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. The Predictive Analytics Modeler will use tools for market research and data mining in order to predict problems and improve outcomes. The Predictive Analytics Modeler roadmap includes the following courses and exams/badges:

Module I –Analytics Overview
•Business Analytics Overview, Trends, Case Studies
•Understanding Business Intelligence and Analytics

Module II –Business Analytics Foundations
•Introduction to Data Mining CRISP-DM

Module III –Predictive Analytics Modeler
•Nodes and streams
•Initial data mining, storage and field measurement
•Understanding the data (valid and invalid values)
•Integrating data (methods, options, merging, and sampling)
•Deriving and reclassifying fields (CLEM)
•Looking for relationships (matrix, distribution, means, histogram, statistics and plot)
•Functions (conversion, string, and statistical)
•Data transformation
•Statistical. graphical and sample nodes
•Automated data mining and modeling
•Predictive models and customer segmentation
IBM Official Badges
•Predictive Analytics Modeler: Explorer | Mastery Award

Associated Job Roles
•Business Intelligence Analyst
•Security Intelligence Analyst
•Watson Cognitive Specialist

Program Format
The program combines both theory and practice. It is highly practical course and is therefore run in a computer laboratory with a workstation (with required software tools installed) provided to each participant.