Introduction to Business Data Analytics (CBDA)

: 6 Months
: Self Paced, AI Tutor
: Beginner
: Available Immediately


Guaranteed Safe Checkout

Introduction to Business Data Analytics (CBDA)

Get certified by the leading authority in business analysis, IIBA with the course Introduction to Business Data Analytics (CBDA). The course is for business analysts who want to improve their business decision-making by enabling new products and services and creating new markets, disrupting existing markets and unseating secure businesses, driving increased efficiency (for example, for retailers to enable them to tailor products for customers), identifying growth opportunities, driving innovation, operating more efficiently, and improving risk management.

Here’s what you will get

Business data analytics is applied to perform the continuous exploration and investigation of business data. The goal is to obtain insights about a business that can lead to improved evidence-based decision-making. The Certification in Business Data Analytics (IIBA®-CBDA) recognizes your ability to effectively execute analysis-related work in support of business analytics initiatives.


8+ Lessons | 115+ Exercises | 71+ Quizzes | 68+ Flashcards | 68+ Glossary of terms


50+ Pre Assessment Questions | 50+ Post Assessment Questions

Lessons 1: Introduction to Business Data Analytics

  • What is Business Data Analytics?
  • The Business Data Analytics Cycle
  • Business Data Analytics Objectives
  • Business Analysis and Business Data Analytics
  • Applications of Data Analytics

Lessons 2: Identify the Research Questions

  • Define Business Problem or Opportunity
  • Identify and Understand the Stakeholders
  • Assess Current State
  • Define Future State
  • Formulate Research Questions
  • Plan Business Data Analytics Approach
  • Techniques

Lessons 3: Source Data

  • Plan Data Collection
  • Determine the Data Sets
  • Collect Data
  • Validate Data
  • Techniques
  • A Case Study for Source Data

Lessons 4: Analyze Data

  • Develop Data Analysis Plan
  • Prepare Data
  • Explore Data
  • Perform Data Analysis
  • Assess the Analytics and System Approach Taken
  • Techniques
  • A Case Study for Analyze Data

Lessons 5: Interpret and Report Results

  • Validate Understanding of Stakeholders
  • Plan Stakeholder Communication
  • Determine Communication Needs of Stakeholders
  • Derive Insights from Data
  • Document and Communicate Findings from Completed Analysis
  • Techniques
  • A Case Study for Interpret and Report Results

Lessons 6: Use Results to Influence Business Decision-Making

  • Recommend Actions
  • Develop Implementation Plan
  • Manage Change
  • Techniques
  • A Case Study for Use Results to Influence Business Decision-Making

Lessons 7: Guide Organizational-Level Strategy for Business Data Analytics

  • Organizational Strategy
  • Talent Strategy
  • Data Strategy
  • Techniques
  • Competencies
  • A Case Study for Guide Organization-Level Strategy for Business Data Analytics

Appendix A: Techniques

  • Business Simulation
  • Business Visualizations
  • Concept Modelling
  • Data Dictionary
  • Data Flow Diagrams
  • Data Mapping
  • Data Storytelling
  • Decision Modelling and Analysis
  • Descriptive and Inferential Statistics
  • Extract, Transform, and Load (ETL)
  • Exploratory Data Analysis
  • Hypothesis Formulation and Testing
  • Interface Analysis
  • Optimization
  • Problem Shaping and Reframing
  • Stakeholder List, Map, or Personas
  • Survey and Questionnaire
  • Technical Visualizations
  • The Big Idea
  • 3-Minute Story
Training Method

Self Paced, AI Tutor


There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Shopping Cart