Certified Business Analytics Specialist (CBAS)

Introduction and Overview

Business Analytics is the emerging and fastest growing technology which every organization is embracing. As per Gartner’s prediction by 2014, 30% of analytic applications will use proactive, predictive and forecasting capabilities, and the software market for business intelligence, analytics and corporate performance management grew by 13.4% in 2010 to $10.5 billion and would continue to grow.

This specialized course covers the concept of Business Analytics and its strategic importance to any organization. The course deals with basic principles, concepts, techniques and tools used in business analytics landscape which includes data mining, data warehouse, data mart, business intelligence, business analytics. Also, this course covers different types of business analytics with real life use cases including text analytics and web analytics. Participants will get good picture of all these concepts and how they all are interconnected to each other in organizational context.

Through this course participants will acquire knowledge on how to use business analytics strategically in organization and to get the most benefit out of it. Also, they will learn to select appropriate type of business analytics based on organizational needs. Participants will actively step through the industry standard process for data mining and realize why an advanced degree in statistics, mathematics or computer science is no longer needed to implement predictive analytics. Live working sessions reveal real-world obstacles and breakthroughs from which to interpret, learn and apply.

As part of the course, participant will be given a case study and it would cover all the aspects of the Business Analytics, right from making a Data/Information Architecture for the case study to the cycle of CRISP-DM and finally converting all the requirements into predictive models using Rapid Miner tool.

Duration

• 32 Hours (4 Days)

Who Should Attend?

• Project Managers
• Business/IT Consultants
• Risk Analyst
• Business Analyst
• Data Analyst – Statistics and Mining
• Manager- Statistics and Mining
• IT/IS Executives and Managers
• Line-of-Business Executives
• Functional Managers
• Technology Planners
• Data Scientist

Pre-Requisite

Participants are recommended to have preferably min. 2 years of experience in software development, business domain or data/business analysis. However, if you do not have any experiences, you can still consider taking up the course and we will advise you accordingly.