IIBA Certification in Business Data Analytics (IIBA-CBDA)
- Created By shambhvi
- Last Updated March 27th, 2025
- Overview
- Prerequisites
- Audience
- Curriculum
Description:
This course is designed to prepare participants for the IIBA Certification in Business Data Analytics (IIBA-CBDA) exam. It focuses on the essential practices, techniques, and frameworks needed to execute data-driven analysis and decision-making effectively. The course emphasizes hands-on exercises and real-world scenarios to align analytics initiatives with business goals.
Participants will explore the six core domains of the IIBA-CBDA exam and understand how to apply data analytics within a business context. By the end of the course, they will be well-prepared to pass the certification exam and excel in data-centric roles.
For Certification based Assistance and Mock quizzes please visit: https://certify360.ai/
Duration: 3 Days
Course Code: BDT418
Learning Objectives:
After completing this course, participants will be able to:
- Understand the IIBA-CBDA certification structure and exam requirements.
- Identify and define business problems suitable for data analytics solutions.
- Explore, analyze, and interpret data to uncover actionable insights.
- Apply data analytics techniques in decision-making and strategic planning.
- Communicate data-driven insights effectively to stakeholders.
- Align data analytics initiatives with organizational objectives.
- Understanding of business analysis practices and principles
- Basic knowledge of data analytics concepts
- Familiarity with the IIBA Business Analysis Body of Knowledge (BABOK®).
Business Professionals, Data Analysts, Managers, Business Analyst, Software Developers, IT Managers, Professionals aiming to specialize in business data analytics and earn the IIBA-CBDA certification.
Course Outline:
- Introduction to Business Data Analytics and IIBA-CBDA Overview
- Introduction to Business Data Analytics
- Role of data analytics in modern business
- Overview of data analytics lifecycle.
- IIBA-CBDA Exam Overview
- Certification process and exam structure
- Overview of the six core exam domains.
- Introduction to Business Data Analytics
- Identifying the Business Problem and Planning Analytics Work
- Identifying Research Questions
- Framing business problems as analytical questions
- Aligning analytics initiatives with organizational goals.
- Planning the Analytics Approach
- Defining scope, resources, and stakeholders
- Selecting appropriate analytics methods and tools.
- Identifying Research Questions
- Data Analysis and Interpretation
- Data Exploration and Preparation
- Data collection, cleansing, and transformation
- Techniques for ensuring data quality and consistency.
- Performing Analytics and Interpreting Results
- Exploratory data analysis (EDA)
- Statistical and predictive modelling basics
- Data Exploration and Preparation
- Deriving meaningful insights from data.
- Presenting Insights and Driving Decisions
- Communicating Results to Stakeholders
- Designing clear and impactful visualizations
- Best practices for storytelling with data.
- Using Analytics to Influence Business Decisions
- Translating insights into actionable recommendations
- Ensuring alignment with business strategy.
- Communicating Results to Stakeholders
- Certification Preparation
- Review of Key Concepts
- Overview of the six IIBA-CBDA domains
- Common mistakes and how to avoid them.
- Review of Key Concepts
- Key Topics and Objective for Certification exams.
- Certification Tips
- Time management and preparation strategies.
- Focus areas for success.
- Simulated exams for hands-on experience.
- Q&A Session
- Practice and Mock Tests
Training material provided: Yes (Digital format, including detailed notes, domain-specific study guides, and practice questions).
Any Additional Information
Participants will receive instructions to access mock exams, sample datasets, and analytics tools. A comprehensive study plan and access to reference materials aligned with the IIBA-CBDA framework will also be provided.
This course ensures participants are well-prepared for the certification exam and gain the practical skills necessary to lead data-driven business analysis initiatives.