Business Analyst AI Pathway
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Subjects
What you’ll learn
Topics
BCS Foundation in Business Analysis
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What is business analysis?
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The competencies of a business analyst
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The strategic context for business analysis
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The business analysis service framework
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Investigating the business situation
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Analysing and managing stakeholders
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Improving business services and processes
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Defining the solution
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Making the business case
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Establishing the requirements
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Documenting and modelling requirements
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Validating and managing requirements
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Delivering the requirements
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Delivering the business solution
AgilePM® Foundation
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What is agile?
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Roles & responsibilities
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Planning & control
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Exam technique
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MOSCOW prioritisation & timeboxes
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Daily stand-ups & other DSDM practices
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Instrumental success factors, DSDM process & products
Change Management Foundation
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Change and the Individual
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Change and the Organisation
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Communication & Stakeholder Engagement
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Change Management Practice
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Understanding organisation culture, organisational metaphors,
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models for change, and emergent change
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Principles of stakeholder engagement, different types / channels of
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communication, identifying & segmenting stakeholders
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Learning and Change, Learning Dip, Motivation Theories, Change
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Curve, individual personality differences (Myers Briggs)
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Handling resistance to change, change impact, readiness for
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change, change team / change agents
Business Analyst to Data Analyst
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Data import and export
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Customising toolbars
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Data visualisations
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Data validations
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Data cleaning
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Data manipulations
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Pivot tables
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Power BI
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Dashboards
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Power BI Share reports
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Power Query
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MariaDB
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Google Charts and Chart studio
AI for Project Management
Introduction to GenAI for Project Managers
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Key prompting techniques stylisation, formatting, and restriction
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How to create a custom GPT aligned to a project context
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How to use AI to generate stakeholder analysis and product breakdown structures
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Visualisation techniques and ethical prompting practices
Gen AI for Project Managers – Risk Management
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Apply tools to improve your existing risk management strategies
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Automatically create risk registers, assess complex cultural and human factors
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Build your own custom GPTs tailored to the specific needs of your project
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Profile charts
Ethics in an AI world
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Core ethical concepts
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Distinctions between legal compliance and ethical behaviour
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Key concerns on covert AI use, discrimination, and autonomy
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Global frameworks like the Asilomar AI Principles and EU guidelines
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Guidance for integrating ethical codes
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