Certified Business Analysis & Analytics Professional

The Certified Business Analysis & Analytics Professional (CBAAP) is the next step after technical data analysis programs such as CDAP or CPDAP. While CDAP/CPDAP focus on mastering tools like Excel, Power BI, Tableau, Looker Studio, MySQL, Python, Power Automate, AI, and cloud platforms, CBAAP moves into the business layer of analysis and decision-making. In this program, participants learn how to connect data with strategy by defining KPIs, developing ROI-driven business cases, designing process models, and creating executive-ready dashboards. The program concludes with a capstone business challenge, showcasing end-to-end skills. Graduates will be fully prepared for roles such as Business Analyst, BI Analyst, and Strategy Analyst, backed by a portfolio that proves their ability to translate analytics into real-world business impact. The approach is balanced: 40% strategic frameworks plus 60% practical labs and projects, so graduates leave portfolio-ready with dashboards, business cases, process models, and executive presentations.

Applicants must complete CDAP or CPDAP before enrolling. These programs provide the technical foundation in Excel, Power BI, Tableau, SQL, Python, and cloud tools, required to advance into the business-focused skills taught in CBAAP.

How you'll learn

• Instructor-Led Training (ILT): Participate in interactive, classroom-based sessions led by experienced industry professionals for an immersive learning experience.
• Virtual Instructor-Led Training (VILT): Join live online classes from anywhere, offering flexibility without compromising interactivity and mentorship.

• CDAP/CPDAP GraduatesAnalysts who have mastered technical tools and now seek to move into business-facing analytics and decision-making.
• Business & Strategy ProfessionalsManagers, team leads, and decision-makers looking to apply analytics to drive growth, efficiency, and strategic impact.
• Career SwitchersProfessionals from finance, HR, operations, or IT aiming to transition into roles such as Business Analyst, BI Analyst, or Strategy Analyst.

• Define and apply KPIs that align with organizational goals.
• Build and evaluate business cases using ROI, payback, and scenario modeling.
• Design interactive dashboards in Power BI, Tableau, or Excel.
• Translate analytics into executive-ready insights and recommendations.
• Showcase job-ready expertise through 10 applied projects and a capstone business challenge.

Program Hours

40 Hours.

Corporate Training

6 full days, with each day lasting 7–8 hours.

Individual Learners

1 month and 2 weeks, with 2 sessions per week, each session lasting 4 hours; OR 1 month and 3 weeks, with 1 session per week, each session lasting 6 hours.

Locations

USA — 131 Continental Drive, Suite 301, Newark, New Castle, DE 19713. Saudi Arabia — Al-Hassan Bin Aly, Riyadh. UAE (partnership with Elbadya Quantum) — Jumeirah Lake Towers, Dubai. Egypt — F6, First Floor, Building H, 5A by the Waterway, New Cairo; Elserag Residential Building 1, Nasr City, Cairo; Alfouad Administrative Tower, Shehab St., Mohandessin, Giza.

Upon successful completion of the Certified Business Analysis & Analytics Professional (CBAAP) program, participants will receive an official Certificate of Completion issued by EPSILON AI — Delaware, USA, recognizing their proficiency in business analysis, KPI development, ROI modeling, business case building, dashboard design, and executive communication. The program is delivered in alignment with international standards, including ISO 21001 and ISO 9001, and follows globally recognized frameworks such as IACET and CPD, ensuring a high-quality, industry-relevant learning experience. All graduates receive a digitally authenticated certificate containing a unique Certificate ID and personal EPSILON ID, enabling instant, secure online verification — ideal for professional portfolios, LinkedIn profiles, and employer validation. In addition, a prestigious hardcopy certificate is issued, printed with advanced security and branding features, including a unique serial number and verification code, a gold-embossed seal and authorized EPSILON AI signatures, and UV-printed security elements for enhanced authenticity and protection against forgery.

• Attend a minimum of 80% of live instructional sessions (direct contact hours).
• Achieve a minimum score of 80% on the final examination.
• Successfully complete and present the Capstone Project.

• Objective: Understand BA & Analytics roles and map daily workflows.
• Introduction to Business Analysis: definition & scope; difference between Business Analyst vs Data Analyst vs BI Analyst vs Data Scientist; role of BA in digital transformation.
• Introduction to Business Analytics: types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive); analytics maturity levels in organizations; role of analytics in corporate strategy.
• Integration of BA & Analytics in organizations: why BA and Analytics are interdependent.
• Project 1 — Day-in-the-Life Workflow Map: workflow diagram of BA/Analytics tasks in a chosen industry.

• Objective: Plan BA work, engage stakeholders, and design governance structures.
• Planning the BA Approach: Predictive vs Adaptive (Agile) approaches; selecting the right BA methodology.
• Stakeholder Analysis & Engagement: stakeholder identification methods; Power/Influence matrix; RACI framework.
• Governance & Information Management: approval workflows and decision rights; requirements for documentation repositories; versioning & traceability.
• Performance Measurement: KPIs for BA work; continuous improvement cycle.
• Project 2 — Stakeholder Engagement Plan: stakeholder matrix + governance plan for a digital project.

• Objective: Apply elicitation techniques and simulate requirement workshops.
• Preparing for Elicitation: selecting elicitation techniques; scheduling & workshop planning.
• Conducting Elicitation: interviews, surveys, focus groups; prototyping and observation; recording stakeholder needs.
• Confirming Results: validating elicitation outcomes; handling conflicting requirements.
• Collaboration & Communication: building communication plans; stakeholder alignment sessions.
• Project 3 — Elicitation Workshop Simulation: stakeholder interview role-play, document User Stories + Acceptance Criteria.

• Objective: Manage requirements with traceability, prioritization, and approvals.
• Traceability: Requirements Traceability Matrix (RTM); linking requirements to goals & testing.
• Maintaining Requirements: version control methods; requirement repository management.
• Prioritization & Approvals: MoSCoW prioritization; Kano model; weighted scoring.
• Project 4 — Traceability & Prioritization Matrix: build RTM for an e-commerce project.

• Objective: Perform strategic analysis to define current vs future states and change strategies.
• Current State Analysis: identifying pain points & constraints; assessing business capabilities.
• Future State Definition: setting vision, mission, and objectives; defining success KPIs.
• Risk Assessment & Change Strategy: risk identification and mitigation; defining change approaches.
• Strategy Tools & Frameworks: SWOT analysis; PESTLE analysis; Gap analysis.
• Project 5 — Strategy Map & SWOT: SWOT + PESTLE analysis, build strategy map linking objectives to KPIs.

• Objective: Document requirements and create UML, BPMN, ERDs, and wireframes to translate business needs into system-level designs.
• Requirements Specification: Business Requirements Document (BRD); User Stories & Acceptance Criteria.
• Verification & Validation: ensuring completeness and accuracy; validating alignment with stakeholder goals.
• Modeling Requirements (UML): Use Case Diagrams; Activity Diagrams; Sequence Diagrams; BPMN (Business Process Model & Notation); ERD (Entity Relationship Diagrams).
• Wireframes & Prototypes: wireframing tools (Figma, Balsamiq); building mock-ups for requirements validation.
• Design Options & Trade-Offs: analyzing solution alternatives; cost-benefit analysis.
• Project 6 — Requirements & UML Models: BRD + UML diagrams for an HR system.
• Project 7 — Business Process & Prototype: BPMN workflow + dashboard wireframe.

• Objective: Evaluate solutions using KPIs, ROI, and dashboards.
• Solution Evaluation: measuring solution performance; identifying solution limitations; recommendations for improvement.
• Business Analytics Foundations: KPI frameworks & scorecards; translating goals into measurable outcomes; ROI basics.
• Project 8 — Solution Evaluation Dashboard: KPI Scorecard + ROI dashboard in Power BI/Tableau.

• Objective: Apply ROI, forecasting, and scenario analysis to support executive decision-making.
• Financial Analytics: ROI, Payback Period, and Customer Lifetime Value (CLV); scenario & sensitivity analysis for business cases.
• Predictive Analytics: regression models for sales forecasting; classification overview (churn prediction, risk scoring); time series forecasting (monthly sales, demand planning).
• Prescriptive Analytics: optimization models for resource allocation; case: workforce scheduling or supply chain optimization.
• Applied Tools: Excel/Power BI for ROI dashboards & scenario modeling; Power BI/Tableau for forecasting dashboards (trend lines, what-if parameters).
• Project 9 — ROI & Forecasting Dashboard: ROI calculator + predictive forecasting dashboard in Power BI/Tableau.

• Objective: Communicate insights through executive summaries, storytelling, and persuasive boardroom presentations.
• Executive Communication: writing executive summaries; Pyramid Principle framework.
• Data Storytelling: turning visuals into narratives; selecting visuals for the audience.
• Stakeholder Persuasion: handling objections; presenting uncertainty with confidence.
• Project 10 — Executive Pitch & Data Storytelling: executive summary + storytelling slide + 5-minute pitch with objections.

• Objective: Integrate all BA & Analytics skills into a full case study.
• Project Flow: define the business problem; select KPIs aligned with business strategy; build a business case with ROI & scenario modeling; create a domain-specific dashboard (Power BI/Tableau/Excel); prepare an executive summary & recommendations; deliver a 10-minute final boardroom presentation (role-play with feedback).
• Case Deliverables: Stakeholder Map & Engagement Plan; Requirements Document (BRD/User Stories); RTM; Business Case with ROI; UML/BPMN Model; KPI Dashboard (Power BI/Tableau); Executive Summary Deck; Final 10-minute boardroom-style presentation.
• Scope note: This program provides a job-ready foundation in KPIs, ROI modeling, business cases, dashboards, and communication. It does not cover advanced programming, statistics, or machine learning, which are included in Epsilon AI Learning's Data Science, Data Engineering, Big Data, and Cloud Computing tracks. Instead, CBAAP focuses on what BA & Business Analytics professionals do daily: framing business questions, building dashboards and business cases, and communicating insights to executives and stakeholders.