Business Data Analytics & Advanced Excel

Level 2 of 2

Intermediate Level

Prerequisites

Business Data Analytics Beginner level, or equivalent: clean Excel data, PivotTables and a first Power BI report.

Duration

8 weeks · 90 guided hours · 6 modules. Taught live by an instructor — online or in person.

By the end of this level you can

  • Connect, clean and combine data from several sources with Power Query
  • Design star-schema data models in Power BI
  • Write DAX measures for business KPIs, including time comparisons
  • Design clear, interactive and accessible Power BI reports
  • Operate reports reliably with refresh, governance and security

Modules

  1. 1Module 1 · 15 h · 3 lessonsPower Query for Analysts
  2. 2Module 2 · 16 h · 3 lessonsData Modelling in Power BI
  3. 3Module 3 · 16 h · 3 lessonsDAX for Business Measures
  4. 4Module 4 · 15 h · 3 lessonsDesigning Power BI Reports
  5. 5Module 5 · 13 h · 3 lessonsReport Operations and Governance
  6. 6Module 6 · 15 h · 3 lessonsBusiness Reporting Project

Intermediate level project

Organisation-Wide Reporting Solution in Power BI

Build a Power BI reporting solution for a realistic organisation — such as a distributor with several branches or an NGO with several programmes — combining sales or activity, budget and reference data, with KPIs, drill-down and a refresh and governance plan.

Deliverables

  • Power Query queries combining at least three sources
  • A documented star-schema model with a date table
  • At least ten DAX measures for agreed KPIs, with checks
  • A multi-page report and a governance note (owner, refresh, access)

Assessed on

  • KPIs are correct, checked independently and defined in a glossary
  • The model follows star-schema principles and is tidy
  • Reports are clear, interactive and accessible
  • Refresh, ownership and access are planned realistically

All levels are taught live by an instructor — online or in person — see registration options.