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CBDA Certification Course Overview

This IIBA-endorsed CBDA course helps business analysts learn how to use data analytics in their work and get ready for the CBDA exam. You will practice turning business problems into questions, working with data, and explaining insights clearly. The course also includes 500+ mock questions, case studies, study plans, and 16 PDUs to help you pass the exam.

Key features

IIBA Endorsed Course (16 PDUs)

Earn 16 PDUs once you complete the training.

Case Studies Discussions

Detailed discussion on CBDA guide case studies.

Mind-maps and Flash cards

Revise and master your preparation with mind maps and flash cards

4-Full length Tests

Practice well with 4-full length tests.

Self-paced course with subtitles

Learn at your own pace, for easy understanding, videos are subtitled

Study Materials

Revision Guide, Trainer presentations, Study plan and Cheat sheets



Why the CBDA certification?

  • Learn how to work in an analytics initiative.
  • Master all the skills and techniques on Data
  • Get yourself ready for the new world, driven by Data
  • Demand for Data Analytics growing at 22% (2022-30)

Who are eligible for this certification?

  • There is no specific eligibility criteria suggested by IIBA.
  • This course is ideal for Business Analysts who wish to learn business analysis in data analytics initiatives

Skills Covered


logo Identify the Research Questions
logo Interpret and Report Results
logo Data Mapping
logo Descriptive and Inferential Statistics
logo More Techniques
logo Analyze Data
logo Guide Organization-level Strategy for Business Analytics
logo Data Storytelling
logo Source Data
logo Use Results to Influence Business Decision Making
logo Business Visualizations
logo Extract, Transform, and Load (ETL)
logo Hypothesis Formulation and Testing
logo Exploratory Data Analysis
logo Decision Modelling and Analysis
logo Analyze Data
logo Guide Organization-level Strategy for Business Analytics
logo Data Storytelling
logo Exploratory Data Analysis
logo Decision Modelling and Analysis

View More...



Testimonials

Elzahn Oosthuizen

Godwishes Mazivisa

CBDA Certified

Statistical Analyst at Zimbabwe Energy Regulatory Authority (ZERA)
Harare, Zimbabwe



Studying for the IIBA CBDA exam with Technavas was a game-changer. ...Read More
The question banks gave me a clear sense of the exam format, while the simplified chapter notes from BABOK helped me master complex topics quickly. The chapter bank questions made my revision easy and allowed me to focus on areas that needed more attention Thanks to these well-organized resources, I felt confident going into the exam—and I passed with flying colors. I highly recommend Technavas to anyone looking to succeed in CBDA certification!" Read Less



Randa Mostafa

Theresa Opoku Agyeman

CBDA Certified

Information Systems, Application Support, Business Analysis
Ghana



The Techcanvass CBDA E-learning course is excellent! It thoroughly covers all ...Read More
areas assessed in the IIBA exams. As someone without a background in data analytics, I found the additional reading materials especially helpful. The chapter wise questions and mock exams matched the IIBA exam's difficulty level and included clear explanations for the correct answers, which greatly enhanced my understanding. I successfully passed the CBDA exams on my first attempt, largely due to the quality of this course. I would highly recommend Techcanvass to others pursuing their CBDA certification. Read Less



Soham K

Nikunj Patel

CBDA Certified

Business Analyst, Product Owner, Data Analytics, Power BI
India



Cleared the IIBA CBDA exam thanks to Techcanvass! The video lessons made ...Read More
complex topics easy to understand, and the mock tests really helped with scenario-based questions. Their structured approach and support boosted my confidence and played a key role in my success. Highly recommended! Read Less




View more Reviews

Video Testimonials

Hear directly from our successful alumni about their experiences.

My experience as a Certified Business Data Analyst

Ivan Matema, Data Analysis, South Africa

My experience as a Certified Business Data Analyst

Ivan Matema, Data Analysis, South Africa

CBDA Certification Journey | CBDA Training from Techcanvass

Aniket Joshi, Data Analysis, Pune India

How did IIBA CBDA certification help me

Gineann Karzai, Data Analysis, Mumbai, India

Course Curriculum

Course Preview

Business Data Analytics & CBDA Overview

CBDA Course Syllabus

Fundamentals of Data Science/Analytics
1 Introduction to Data Science/Analytics
2 Use cases for Data Science/Analytics
3 Data Science lifecycle
4 Types of Data Analytics.
5 Artificial Intelligence/Machine Learning overview
Introduction to Certification in Business data analytics (CBDA)
1 Eligibility Criteria
2 Six Business Data Analytics Domains
Business Analysis and Data Analytics
1 Business Analysis in Data Analytics Projects
2 Business Analysis Vs Data Analytics
Introduction to Business Data analytics Domains
1 Identify the Research Questions – 20% (Domain 1)
2 Source Data – 15% (Domain 2)
3 Analyze Data – 16% (Domain 3)
4 Interpret and Report Results – 20% (Domain 4)
5 Use Results to Influence Business Decision Making – 20% (Domain 5)
6 Guide Organization-level Strategy for Business Analytics - 9% (Domain 6)
Domain 1: Identify the Research Questions
1 Define Business Problem or Opportunity.
2 Identify and Understand the Stakeholders,
3 Assess Current State,
4 Define Future State,
5 Formulate Research Questions,
6 Plan Business Data Analytics Approach, and
7 Select Techniques for Identify the Research Questions
Domain 2: Source Data
1 Plan Data Collection,
2 Determine the Data Sets,
3 Collect Data, and
4 Validate Data.
Domain 3: Analyze Data
1 Develop Data Analysis Plan,
2 Prepare Data,
3 Explore Data,
4 Perform Data Analysis, and
5 Assess the Analytics and System Approach Taken
Domain 4: Interpret and Report Results
1 Validate Understanding of Stakeholders,
2 Plan Stakeholder Communication,
3 Determine Communication Needs of Stakeholders,
4 Derive Insights from Data, and
5 Document and Communicate Findings from Completed Analysis, and
6 Select Techniques for Interpret and Reporting Results
Domain 5: Use Results to Influence Business Decision-Making
1 Recommend Actions,
2 Develop Implementation Plan, and
3 Manage Change.
Domain 6: Guide Organizational-Level Strategy for Business Data Analytics
1 Organizational Strategy,
2 Talent Strategy, and
3 Data Strategy.
Techniques
1 Business Simulation
2 Business Visualizations
3 Concept Modelling
4 Data Dictionary
5 Data Flow Diagrams
6 Data Mapping
7 Data Storytelling
8 Decision Modelling and Analysis
9 Descriptive and Inferential Statistics
10 Extract, Transform, and Load (ETL)
11 Exploratory Data Analysis
12 Hypothesis Formulation and Testing
13 Interface Analysis
14 Optimization
15 Problem Shaping and Reframing
16 Stakeholder List, Map, or Personas
17 Survey and Questionnaire
18 Technical Visualizations
19 The Big Idea
20 3-Minute Story

Case studies

1. Domain 1: Fraud Detection and Predictive Analytics Case study at an Investment bank
2. Domain 2: Voice termination fraud Case study
3. Domain 3: Exploratory Data analysis and Life Insurance company Case study
4. Domain 4: HiFive Ice cream Case Study
5. Domain 5: E-commerce retailer and UK giftware and online gifting industry
6. Domain 6: E-commerce retailer Case study


Data Analytics Certification Courses: Syllabus Details

The training program will cover all the topics as mentioned below:

Course Project: Learners will be required to do a complete project in a group setup working on every phase of the Data Analytics lifecycle. This will help you in applying the skills and techniques, acquired during the sessions.


Course Overview
1 Course Learning Objectives
2 Syllabus
3 Data Analytics Certification (CBDA)
4 Take-aways
Introduction to Data Analytics
1 What is Data Analytics?
2 Importance of Data Analytics
3 Key Elements of Data Analytics
4 Opportunities and Careers paths in Data Analytics
5 Roles and responsibilities of a Data Analyst
Types of Data Analytics
1 Descriptive Data Analytics
2 Predictive Data Analytics
3 Diagnostic Data Analytics
4 Prescriptive Data Analytics
5 Quiz
SQL for Sourcing Data
  • SQL Overview
  • Data Query Language
  • Data Manipulation Language
  • Accessing Data from Multiple Tables
2 Class Exercises
Data Visualization with Power BI
  • Fundamentals of Data Visualization
  • Introduction to Power BI
  • Data Visualization using Power BI
  • Slicers and Filters in Power BI
  • Interactive Visualisations in Power BI
  • Creating Paginated Report
  • Creating Dashboards in Power BI
Phase I - 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, and
  • Select Techniques for Identify the Research Questions
Phase II - Source Data
  • Plan Data Collection,
  • Determine the Data Sets,
  • Collect Data, and
  • Validate Data.
Phase III - Analyze Data (Cleaning, Transformation and Analyzing data)
  • Develop Data Analysis Plan,
  • Prepare Data,
  • Explore Data,
  • Perform Data Analysis, and
  • Assess the Analytics and System Approach Taken
Phase IV - Interpret and Report Results
  • Validate Understanding of Stakeholders,
  • Plan Stakeholder Communication,
  • Determine Communication Needs of Stakeholders,
  • Derive Insights from Data, and
  • Document and Communicate Findings from Completed Analysis, and
  • Select Techniques for Interpret and Reporting Results
Phase V - Use Results to Influence Business Decision-Making
  • Recommend Actions,
  • Develop Implementation Plan, and
  • Manage Change.
Phase VI - Guide Organizational-Level Strategy for Business Data Analytics
  • Organizational Strategy,
  • Talent Strategy, and
  • Data Strategy.
LLM
  • LLM Models
  • Tokenization
  • Fine Tuning
  • GAN
  • RAG
Machine Learning Basics
  • What is Machine Learning
    • NLP
    • Neural Network
  • Supervised Learning
    • Linear (Continuous) Regression
    • Categorical Classification
  • Unsupervised Learning
    • Recommendations
    • Clustering
    • Dimensional Reduction
Artificial Intelligence and Generative AI Fundamentals
  • What are AI and Generative AI
  • How does it work?
  • How can you use for better efficiency
  • More use cases
Leveraging AI for Enhanced Data Analytics
  • AI-Powered Data Preparation & Augmentation
  • Intelligent Exploratory Data Analysis (EDA)
  • Applied Predictive Analytics
  • Generative AI for the Data Analyst
Learning to Develop Practical AI Applications
  • Building with AI APIs
  • Low-Code/No-Code AI App Development

Class and Course Projects


Intelligent-App

The "Intelligent App" Challenge

Analyzes historical sales data and displays key trends in a Power BI dashboard (Part 1 skill).

Integrates an AutoML model to predict future sales for a given product (Part 1 skill).

Includes a feature using an LLM API to provide a plain-language summary of the forecast (Part 2 skill).



Course Certificate

In the end, you will get a course certificate from Techcanvass based on a course completion test.

CBDA-Certificate

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Course Overview


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Course Overview


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Studies


CBDA Question Bank


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Have questions? Call the learning advisor or join the Whatsapp community for career Q&A, expert guidance and more


Corporate and Group Training

Let us know about your company training requirements, we can also customize the program to suit your needs.

Special discounts available for a group of 3 or more.

Corporate Training Enquiry

CBDA Training FAQs

What is Business Data Analytics?

Business data analytics is a practice by which a specific set of techniques, competencies, and procedures are applied to perform continuous exploration, iteration, and investigation of past and current business data to obtain insights about a business that can improve decision-making. It uses business analysis and analytics disciplines to create better business outcomes through evidence-driven business decisions.

What are the IIBA CBDA eligibility criteria?

There are no eligibility criteria for this certification, but IIBA recommends relevant work experience of two to three years of analysis-related business analytics work.

What is the IIBA CBDA Certification Cost?

The certification cost is $450 for members and $575 for non-members.
The retake fee is $400 for members and $525 for non-members.
The renewal fee is $30 for members and $50 for non-members.

How is the IIBA CBDA exam pattern?

The IIBA CBDA exam is offered as an online remote proctored exam that requires a desktop or laptop, an internet connection, a working webcam, and a microphone.
The exam tests your ability to answer questions focused on real-world scenarios. It is aligned with the six Blueprint Domains (Knowledge Areas). Each domain has a different weightage. The exam consists of 75 multiple-choice, scenario-based questions to be completed within 2 hours. Passing marks are based on the cut score using a psychometric procedure.

Why should you be a Certified Business Data Analyst?

Business data analytics strikes a balance between business analysis and data analytics, which helps obtain insights that can improve decision-making. Your strong business analysis skills, combined with the competencies and knowledge required for a business analytics project, will make you eligible for many exciting and in-demand opportunities. Earning this certification informs employers of your passion for and competencies in performing business analysis on analytics initiatives.

What is the difference between a Business Analyst's and a Business Data Analyst's role and responsibilities?

A Business Analysts's activities involve understanding enterprise problems and goals, analyzing needs and solutions, devising strategies, driving change, and facilitating stakeholder collaboration. In addition to this, a Business Data Analyst works with data and other related activities like collecting correct data, preparing data, exploratory data analysis, deriving insights from data, communicating findings, and guiding organizational-level analytics strategy.

Can only Business Analysts benefit from this certification?

Certainly not! Various professionals like analysts, developers, testers, data scientists, consultants, data storytellers, business development, transformation managers can benefit from this certification. Business professionals can understand more about using data to solve problems. Data professionals can understand the business aspect of what happens before and after analyzing data, basically the end-to-end cycle. In fact, any professional working with data can benefit from this certification.


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