Business Analyst

Module 1: Introduction to Business Analysis

• What is Business Analysis?
• Definition, purpose, and importance in organizations.
• The role of a Business Analyst: responsibilities, skills, and competencies.
• Different types of BAs (e.g., IT BA, Data BA, Agile BA).

• Business Analysis Planning and Monitoring
• Defining project scope and objectives.
• Stakeholder identification, analysis, and management.
• Creating a business analysis plan.
• Performance metrics for BAs.

• Business Analysis Frameworks and Methodologies
• Introduction to Waterfall, Agile (Scrum, Kanban), Lean, and Hybrid approaches.
• Understanding the Software Development Life Cycle (SDLC) and the BA's role in each phase.
• Introduction to BABOK (Business Analysis Body of Knowledge) Guide.

Module 2: Requirements Elicitation and Management

• Techniques for Gathering Requirements
• Interviews, workshops, brainstorming, surveys, observation, prototyping, use cases.
• Document analysis (reviewing existing systems, documents, etc.).

• Requirements Documentation
• Types of requirements (Business, Stakeholder, Solution - Functional and Non-functional, Transition).
• Creating various documentation: Business Requirements Document (BRD), Functional Specification Document (FSD), Use Cases, User Stories.
• Requirements traceability.

• Requirements Analysis and Modeling
• Analyzing and refining requirements for clarity, completeness, and consistency.
• Modeling techniques:
  • Process Modeling: Flowcharts, Swimlane Diagrams, Business Process Model and Notation (BPMN).
  • Data Modeling: Entity-Relationship Diagrams (ERDs).
  • UML Diagrams: Use Case Diagrams, Activity Diagrams, Sequence Diagrams (for IT-focused BAs).
• Prioritizing requirements (MoSCoW, KANO).
• Managing changes to requirements.

• Requirements Validation and Verification
• Techniques for ensuring requirements meet business needs and are testable.
• User Acceptance Testing (UAT) and the BA's role.

Module 3: Business Process Improvement

• Understanding Business Processes
• Process mapping and analysis.
• Identifying inefficiencies and bottlenecks.

• Process Improvement Methodologies
• Lean, Six Sigma principles.
• Business Process Reengineering (BPR).

• Implementing Process Changes
• Monitoring and measuring outcomes of process changes.

Module 4: Data Analysis and Reporting

• Fundamentals of Data Analysis
• Data types and structures.
• Descriptive statistics (mean, median, mode, standard deviation, etc.).
• Inferential statistics (hypothesis testing, regression analysis).

• Data Management and SQL
• Introduction to databases (relational and NoSQL).
• SQL basics: querying, retrieving, and manipulating data.

• Data Visualization
• Principles of effective data visualization.
• Creating charts, graphs, dashboards to present insights.

• Business Intelligence (BI) Concepts
• Understanding BI tools and their role in decision-making.

Module 5: Solution Assessment and Validation

• Evaluating Proposed Solutions
• Assessing solutions against business needs and requirements.
• Feasibility studies and cost-benefit analysis.

• Risk Management
• Identifying and mitigating risks associated with solutions.

• Ensuring Quality
• Quality standards and their importance.
• Overview of testing types (functional, performance, security).

Module 6: Communication and Soft Skills

• Effective Communication Strategies
• Verbal and written communication.
• Active listening.

• Collaboration and Stakeholder Management
• Working with diverse teams (developers, testers, project managers, business users).
• Conflict resolution and negotiation skills.

• Presentation Skills
• Problem-solving and Critical Thinking
• Adaptability and Continuous Learning

Module 7: Tools and Technologies

• Tools and Technologies
• Requirements Management Tools: JIRA, Azure DevOps, Rally, Confluence.
• Process Modeling Tools: Microsoft Visio, Lucidchart, Bizagi.
• Data Analysis Tools: Microsoft Excel (advanced functions, pivot tables), SQL.
• Data Visualization/BI Tools: Tableau, Microsoft Power BI.
• Prototyping/Wireframing Tools: Balsamiq, Axure RP.
• Optional: Introduction to programming languages like Python or R for advanced data analysis.

Module 8: Case Studies and Practical Exercises

• Case Studies and Practical Exercises
• Real-world scenarios and hands-on simulations to apply learned concepts.
• Group projects to foster collaboration and problem-solving.
• Development of a capstone project demonstrating comprehensive BA skills.

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