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Power BI Guides & Tutorials
Master Power BI — DAX, Power Query, data modeling, dashboard design, deployment and the interview questions employers ask.
Power BI articles
Power BI vs Tableau: A Detailed 2026 Comparison
A detailed comparison of Power BI and Tableau for teams and analysts: a concept-by-concept translation table, authoring and platforms, data preparation, import versus extract, DAX measures versus LOD expressions and how filters treat them, row-level security, sharing, licence types and a worked cost example.
Power BI Slicers: Sync, Hierarchies and Best Practices
A practical guide to Power BI slicers: which slicer type suits which filter, slicers versus the Filters pane, syncing slicers across pages and in groups, hierarchy slicers and ragged hierarchies, why Select all stores an is-not filter, shown on real data after a refresh, edit interactions, and Apply all buttons.
Building a Finance Dashboard in Power BI
A Power BI finance dashboard built on Microsoft's Financial Sample workbook: two data traps to fix on import, core measures for sales, profit, margin and discount rate, reconciling totals before any visual, a profit bridge, a segment that loses money, what discounts do to margin, and a layout for finance users.
Creating Calculated Columns vs Measures in Power BI
The simplest test for calculated columns versus measures in Power BI is whether the value should change when someone filters the report. Columns are worked out once at refresh; measures respond to every filter. A worked example on bike-sharing data shows what happens to running totals and ranks when you choose wrongly.
Power BI Deployment Pipelines for Teams
How Power BI teams use deployment pipelines: stages and capacity requirements, which items can be deployed, item pairing and the duplicates it can create, deployment rules that point each stage at the right data, why data needs refreshing after deployment, and a team workflow.
How to Learn Power BI in 30 Days: A Study Plan
A realistic 30-day Power BI plan: what to install and which free sample data to use, a concrete output for every day across four weeks of Power Query, data modelling and DAX, report design, and the Power BI service, mapped to the skill areas Microsoft lists for Power BI data analysts, and how to check progress.