IIBA -CBDA Certification Preparation
$1195
2 Days
On Demand and Dedicated Workshops
Oct 14,15
Feb 24,25
Jun 23,24
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Learn MoreCourse Overview
CBDA Certification Course
This two-day session will prepare you for the Certification in Business Data Analytics (IIBA®-CBDA) exam and help you make the most of your post-class study time. This course was designed, created, and taught by IIBA®-CBDA certified professionals to help candidates focus on the critical areas to study and to provide insights into the exam.
This course will earn you 14 PDUs | 14 CDUs
Learning Objectives
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Describe the overall data analytics framework and key domains
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Understand the role of the business analysis professional in the data analytics framework
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Identify and understand how to apply the core concepts described in the Guide to Business Data Analytics v.1.0
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Learn how to apply various techniques to the data analytics effort
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Anticipate the general types of questions that appear on the exam and learn how to answer them
COURSE AGENDA
CBDA Exam Prep Curriculum
Participants will learn valuable tips and tricks needed to pass the IIBA®-CBDA exam. This course follows the IIBA®-CBDA exam blueprint based on the Guide to Business Data Analytics Guide v.1.0 and includes numerous exercises and practice exam questions to help prepare for the exam.
Process Leadership
Business Analysis
- Eligibility and the application
- Exam blueprint & sample exam questions
- Business data analytics key concepts
- Business data analytics 5 perspectives
- Business data analytics cycle
- Business analysis and business data analytics
- Business data analytics types
- Define the business problem or opportunity
- Identify and understand stakeholders
- Assess current state
- Define future state
- Formulate research questions
- Plan business data analytics approach
- Techniques (purpose, description, elements, and usage considerations)
- Plan data collection
- Determine data sets
- Collect data
- Validate data
- Techniques (purpose, description, elements, and usage considerations)
- Develop a data analysis plan
- Prepare data
- Explore data
- Perform data analysis
- Assess the analytics and system approach taken
- Techniques (purpose, description, elements, and usage considerations)
- Validate understanding of stakeholders
- Plan stakeholder communication
- Determine the communication needs of stakeholders
- Derive insights from data
- Document and communicate findings for a complete analysis
- Techniques (purpose, description, elements, and usage considerations)
- Recommend actions
- Develop implementation plan
- Manage change
- Techniques (purpose, description, elements, and usage considerations)
- Organizational strategy
- Talent strategy
- Data strategy
- Techniques (purpose, description, elements, and usage considerations)
- Exam tips and testing strategies
- Application tips and recertification info
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