Business Analytics with Power BI: End-to-End Applied Project

EnglishBusiness Intelligence Fortgeschritten 1440 Min.

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DozentAlaa Hady MBA, AI Engineer
Geschäftsführender Partner, Advanced Management Solutions

Instructor: Alaa Hady · Language: English or Arabic · Suggested duration: 3 days · Level: Intermediate (Level 200)

Objectives

Outline and contents

  1. Phase 1: Requirements & Discovery — Scoping business questions, KPI definitions, security needs, and data source audit
  2. Phase 2: Data Ingestion & Transformation — Profiling, cleaning, merging, and shaping multi-source data in Power Query
  3. Phase 3: Semantic Model Architecture — Building the Star Schema, Calendar table, hierarchies, RLS roles, and field parameters
  4. Phase 4: DAX Measures & Analytics — Implementing core KPIs, time intelligence, semi-additive measures, and dynamic rankings
  5. Phase 5: Report Design & AI Exploration — Designing executive summary, diagnostic drill-through, anomaly detection, and key influencers visuals
  6. Phase 6: Deployment & Governance — Publishing to Workspace, configuring RLS, scheduling refresh, and creating a multi-audience App
  7. Phase 7: Quality Assurance & Reconciliation — Auditing numbers, documenting assumptions, and testing interactive filters
  8. 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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