GICT Certified Business Analytics Associate (CBAA) 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. 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. Find out More : https://globalicttraining.com/

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Certified Business Analytics Associate
(CBAA)
Course Outline
www.globalicttraining.com

2. COPYRIGHT © GICT TRAINING & CERTIFICATION. ALL RIGHTS RESERVED.
Certified Business Analytics Associate (CBAA)
DURATION
2 Days
COURSE OBJECTIVES
Business Analytics is the emerging and fastest growing technology which every organization is
embracing. As per Gartner’s prediction by 2014, 30 percent 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 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.

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TARGETED AUDIENCE
 CXO’s
 IT/IS Executives and Managers
 Project Managers
 Line-of-Business Executives and Functional Managers
 Technology Planners
PROGRAM STRUCTURE
This is a 2-day training program with the following assessment components.
Component 1. Written Examination (MCQ)
These components are individual based. Participants will need to obtain 70% in the component in
order to qualify for this certification. If the participant fails the written examination, he/she will have
to re-take the assessment.
COURSE OUTCOMES
 An understanding of the Business Analytics and its impact on enterprises
 Understand the data/information architecture
 Understand the role of data in analytics
 Understand the data mining methodology

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COURSE OUTLINE
Unit 1: Introduction to Business Analytics
- Understand the concept of Business Analytics
- Why it is important and of great value to any organization
- Main motivation behind the evolution of Business Analytics
Unit 2: Types of Analytics
- Various type of analytics
o Descriptive Analytics
o Predictive Analytics
o Prescriptive Analytics
- Text Analytics and Web Analytics
- Understand the use of various analytics methods
- Understand the application usage of each one
Unit 3: Data/Information Architecture
- Understand the Data/Information Architecture of any organization
- Concept of Data Warehouse/Enterprise Data Warehouse (EDW)
- Concept of Data Mart
- Understand Business Intelligence
- Understand the complete picture of how analytics will be applied in any organization
Unit 4: Data Quality in Analytics
- Understand the importance of data in analytics
- Data quality process
- Various data structures
- Understand the data uniqueness
- Data privacy concerns
- Data governance

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Unit 5: Data Mining and Analytics
- Understand the Data Mining process
- Concept of data mining
- Data mining objectives
- Data mining definition
- What data mining is and what is not data mining
- Convergence of three key areas in data mining
WRITTEN ASSESSMENT
As part of the written examination, each participant will be assessed individually on the last day of
the training for their understanding of the subject matter and ability to evaluate, choose and apply
them in specific context and also the ability to identify and manage risks.
This written examination will primarily consist of 20 multiple choice questions spanning various
aspects as covered in the program. It is an individual, competency-based assessment.
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