CBDA

The IIBA Certified Business Data Analyst (CBDA) exam covers a wide range of topics related to business data analysis. Here are the main points you need to focus on:

I. Business Analysis Fundamentals

• Understanding Business Analysis: This section defines what business analysis is, its purpose, and the role of a business data analyst.
• Business Analysis Skills: This covers fundamental analytical skills needed to perform data analysis, including data visualization, problem-solving, communication, and collaboration.
• Business Analysis Techniques: This explores various techniques used in business analysis, such as root cause analysis, process mapping, and data modeling.

II. Data Fundamentals

• Data Concepts: This covers the basics of data, including different types of data, data quality, and data governance.
• Data Collection and Management: This explains how data is collected, stored, and managed, including methods like surveys, databases, and APIs.
• Data Analysis Fundamentals: This explores basic analytical techniques like descriptive statistics, data visualization, and data cleansing.

III. Business Data Analysis

• Data Analysis Techniques: This covers advanced analytical techniques including regression analysis, time series analysis, and predictive modeling.
• Data Mining and Machine Learning: This introduces concepts like data mining and machine learning, including algorithms and their applications in business.
• Data Visualization and Reporting: This emphasizes creating insightful and effective data visualizations and reports for stakeholders.

IV. Business Data Analytics Applications

• Business Intelligence (BI) and Analytics: This explains how data is used to gain insights and support decision-making in organizations.
• Data-Driven Decision Making: This highlights the importance of using data to make informed and strategic decisions.
• Industry-Specific Applications: This explores how data analysis is applied in various industries like finance, healthcare, and marketing.

V. Ethics and Professionalism

• Data Ethics: This emphasizes the importance of ethical data handling and its implications for privacy, security, and bias.
• Professional Responsibility: This discusses the professional responsibilities of a business data analyst, including maintaining confidentiality, objectivity, and integrity.

VI. Ongoing Learning and Development

• Staying Current: This encourages continuous learning and development to keep up with the rapidly evolving field of data analytics.
• Professional Development Resources: This provides guidance on resources and opportunities for ongoing professional development.

Remember that this is a general overview, and the actual content of the CBDA exam may vary slightly. It’s important to refer to the IIBA's official study guide and practice materials for the most up-to-date information.