Este curso para empresas se imparte bajo petición para tu equipo, en línea o en tu empresa, en inglés o árabe. Envía el formulario y te contactaremos para organizarlo. Solicitar esta formación
InstructorAlaa Hady MBA, AI Engineer
Socio director, Advanced Management Solutions
Instructor: Alaa Hady · Language: English or Arabic · Suggested duration: 3 days · Level: Intermediate (Level 200)
Objectives
- Execute a complete, real-world business analytics project from stakeholder brief to executive presentation.
- Synthesize data preparation, dimensional modelling, DAX development, and visual design skills.
- Reconcile and validate business calculations against corporate control totals.
- Present an interactive, story-driven solution to business stakeholders.
Outline and contents
- Phase 1: Requirements & Discovery — Scoping business questions, KPI definitions, security needs, and data source audit
- Phase 2: Data Ingestion & Transformation — Profiling, cleaning, merging, and shaping multi-source data in Power Query
- Phase 3: Semantic Model Architecture — Building the Star Schema, Calendar table, hierarchies, RLS roles, and field parameters
- Phase 4: DAX Measures & Analytics — Implementing core KPIs, time intelligence, semi-additive measures, and dynamic rankings
- Phase 5: Report Design & AI Exploration — Designing executive summary, diagnostic drill-through, anomaly detection, and key influencers visuals
- Phase 6: Deployment & Governance — Publishing to Workspace, configuring RLS, scheduling refresh, and creating a multi-audience App
- Phase 7: Quality Assurance & Reconciliation — Auditing numbers, documenting assumptions, and testing interactive filters
- Capstone Defense — Participant presentation of findings, business recommendations, and technical peer review
Target audience
Data analysts, BI developers, and departmental teams who have completed foundational Power BI training or have equivalent experience.
Expected outcomes
Participants deliver a production-grade Power BI portfolio solution from raw corporate data and present actionable, evidence-based business recommendations. (Note: Learners seeking dedicated exam preparation for Microsoft Exam PL-300 should also see Course 45 in Academy G).
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