📌 Program Overview

This program is designed to prepare candidates for modern Business Analyst roles by combining:

• Business Analysis execution
• Banking domain expertise (Payments, AML, Lending)
• Data analysis (SQL + Power BI)
• Systems and API understanding
• AI tools such as Copilot for real-world productivity

The training is continuously updated based on real industry interviews and focuses on practical execution, not theory.

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🗓️ ​Week 1 — Business Analysis Foundation & Mindset​
🔹 Objective:

• Build a strong foundation and transition into a Business Analyst mindset.

🔹 Topics Covered:

• Role of a Business Analyst in real-world environments
• Requirement gathering techniques (practical scenarios)
• Stakeholder identification and communication
• Introduction to SDLC and Agile (practical comparison)

🔹 Hands-On Activities:

• Simulated stakeholder discussions
• Requirement extraction from real-world scenarios

🗓️ Week 2 — Documentation & Process Execution
🔹 Objective:

• Develop core BA documentation and process modeling skills.

🔹 Topics Covered:

• Writing User Stories (Jira format)
• Acceptance Criteria & Definition of Done
• BRD / FRD (practical approach)
• AS-IS and TO-BE Process Mapping
• Requirement Traceability Matrix (RTM)

🔹 Hands-On Activities:

• Create user stories and acceptance criteria
• Build process flow diagrams
• Map requirements to business objectives

🗓️ Week 3 — Domain Training (Payments & Core Banking)
🔹 Objective:

• Build strong understanding of payment systems and core banking operations

🔹 Topics Covered:

• Payment ecosystem overview
• RTP, ACH, SWIFT, and Wire transfers
• End-to-end payment lifecycle
• Core banking fundamentals
• System interactions in payment processing
• Payment failure scenarios and troubleshooting

🔹 Hands-On Activities

• Walkthrough of payment lifecycle
• Scenario-based failure analysis

🗓️ Week 4 — Domain Training (AML / KYC & Lending)
🔹 Introduction to AI for Business Analysts

• Develop knowledge of compliance processes and lending systems.

🔹 Topics Covered:

• KYC (Know Your Customer) process
• AML (Anti-Money Laundering) fundamentals
• Transaction monitoring and sanctions screening
• Loan lifecycle (origination, underwriting, servicing)
• Compliance and regulatory requirements

🔹 Hands-On Activities

• KYC onboarding simulation
• Loan lifecycle walkthrough

🗓️ Week 5 — SQL & Data Analysis (BA/DA Core Skills)
🔹 Objective:
Develop strong data analysis and SQL skills required for modern BA roles.
🔹 Topics Covered:

• SQL fundamentals (SELECT, JOIN, GROUP BY)
• Subqueries and window functions
• Data validation and reconciliation
• Handling data inconsistencies and anomalies

🔹 Hands-On Activities:

• Writing real-world SQL queries
• Data comparison and validation exercises

🗓️ Week 6 — Power BI & Data Visualization
🔹 Objective:
Enable candidates to transform data into meaningful business insights.
🔹 Topics Covered:

• Power BI fundamentals
• Data modeling (fact vs dimension tables)
• KPI creation and dashboard design
• Data storytelling for business users

🔹 Hands-On Activities:

• Build dashboards using real datasets
• Present insights based on data analysis

🗓️ Week 7 — Systems, APIs & AI (Copilot + Generative AI)
🔹 Objective:
Develop technical awareness and introduce AI-driven productivity for Business Analysts.
🔹 Systems & Integration:

• API fundamentals (REST, JSON)
• System integration concepts
• Upstream and downstream systems
• Data flow across applications

🔹 AI & Copilot (Practical Usage):

• Introduction to Generative AI concepts
• Using Copilot for:
  • Requirement documentation
  • SQL query generation
  • Test case creation
  • Process documentation

🔹 AI Validation & Governance:

• Understanding limitations of AI
• Validating AI-generated outputs
• Refining prompts for better results

🔹 Hands-On Activities:

• Analyze API responses
• Use Copilot to generate and refine BA artifacts
• Validate AI-generated outputs

🗓️ Week 8 — Advanced BA Execution & Real-World Simulation
🔹 Objective:
Consolidate all skills into real-world execution scenarios aligned with current industry expectations.
🔹 Topics Covered:

• End-to-end project simulation (requirements → delivery → validation)
• Cross-domain scenario handling (Payments + AML + Lending)
• Data-driven decision making in BA role
• Handling real-world challenges:
  • unclear requirements
  • system failures
  • data mismatches
  • stakeholder conflicts

🔹 Hands-On Activities:

• Full lifecycle case study simulation
• Cross-functional scenario exercises
• Problem-solving workshops based on real interview cases

🔥 Key Program Highlights

• Industry-aligned curriculum based on real interview trends
• Hybrid BA + Data Analyst skill development
• Domain-focused training (Payments, AML, Lending)
• Hands-on learning with real-world scenarios
• AI and Copilot integration for modern workflows

🧠 Outcome
By the end of the program, candidates will be able to:

• Perform end-to-end Business Analysis tasks
• Work effectively with data using SQL and Power BI
• Understand and explain banking domain processes
• Collaborate with technical teams and understand system integrations
• Leverage AI tools like Copilot in daily BA activities​