
Master Power BI data visualization while applying advanced DAX expressions and time intelligence to measure top three employees, and explore bookmarks, AI visuals, filters, navigation, pop-up windows, and drill-through reports.
Import and clean data in power bi by loading excel tables, transforming with power query, fixing missing values and types, then creating a date table and relationships.
Learn time intelligence in Power BI by building totals and year-to-date, quarter-to-date, and month-to-date measures with a dates table. Note how Calculate, auto date time, and hierarchies affect size.
Compare current period sales to prior periods in Power BI using previous month, quarter, and year functions with calculate context to compute deltas.
Apply moving averages in Power BI using average X and time intelligence, creating a 30-day smoothing window to reduce outliers and visualize trends.
Learn to use bookmarks in Power BI Desktop to control visuals, switch views with a navigator or buttons, and analyze sales and profit across regions and categories.
Master Power BI bookmarks to reset all slicers with a reset bookmark and button, control the data state, and link bookmarks to buttons for a streamlined, default view.
Explore practical Power BI navigation techniques by building a landing page with a navigation pane, a page navigator, and clickable buttons that jump between pages.
Create pop up windows in Power BI by overlaying screenshots and triggering bookmarks with a button. Use PowerPoint overlays and the selection pane to show or hide tips.
Learn to handle excel sheet renaming in bulk in Power BI by using Power Query with zero-indexed, index-based sheet references to load multiple sheets, avoiding refresh errors.
Fix circular dependency errors in Power BI by using all except with a unique identifier, such as an index, to prevent context transition from mis-summing.
Learn how circular dependency errors arise when a values-based table creates a blank row, and fix them by using distinct or all no blank row to ensure valid relationships.
Apply corporate identity colors across Power BI visuals by creating a color table, linking ship modes via a measure, and using conditional formatting to unify colors.
Master field parameters in Power BI desktop to create dynamic visuals, switching between measures and dimensions with slicers and drill-down, while controlling order and grouping.
Discover creating a Power BI progress bar without custom visuals using a generated series table, a profit margin percentage, and a line chart with error bands for a dynamic indicator.
Understand the difference between a Power BI report created in desktop and its interactive visuals, and a Power BI dashboard in the service that pins visuals from multiple reports.
Explore August 2024 Power BI release, enabling per-visual calculations with FX and formatting for percentage of total, and learn to limit data points with add data limit while preserving filters.
Spot a strange Power BI bug in the Power Query editor where an order date isn't recognized. Fix it by converting to text, replacing ampersands with dots, then to date.
Discover overlooked Power BI report settings, from auto-detecting relationships and time‑intelligence date tables to query reduction and export options, and optimize performance and data integrity.
Enable user defined DAX functions in Power BI, define a function name with optional parameters in the DAX query view, update the model, and call it in a measure.
Learn to connect Power BI's Power Query editor to the OpenAI endpoint, configure an API key as a parameter, and invoke a custom function to return answers for table prompts.
Copy selected queries between reports with a Power Query tip. Mac users can access Power Query in the cloud via the Power BI service get data, including uploading Excel files.
Learn advanced Power BI techniques to improve your data models, write more powerful DAX calculations, and design professional dashboards.
This course is designed for users who already know the basics and want to move to the next level with real-world analysis, time intelligence, and advanced reporting techniques.
Work with real datasets and build reports that reflect real business use cases.
What makes this course different
This course focuses on practical, advanced Power BI skills rather than basic introductions.
You will not just learn individual features, but how to combine data modeling, DAX, and report design into a structured workflow that reflects real business use cases.
What you will learn
Write advanced DAX measures for time intelligence and business analysis
Build optimized data models using fact and dimension tables
Design interactive dashboards using bookmarks, drillthrough, buttons, and navigation
Improve report performance and structure
Apply best practices for report layout, usability, and customization
Analyze real business datasets such as sales data
Use advanced features and AI capabilities within Power BI where applicable
How you will learn
This course follows a hands-on approach. You will work through practical examples and real scenarios rather than isolated feature demonstrations.
Each topic builds on the previous one, allowing you to progressively improve your skills and apply them directly in realistic reporting situations.
Additional topics covered
Advanced report interaction techniques
Data modeling strategies and optimization
Time intelligence and advanced calculations
Practical dashboard design patterns
Who this course is for
Power BI users who already understand the basics and want to move to an intermediate or advanced level
Analysts who want to improve their DAX, data modeling, and reporting skills
Professionals building dashboards and reports for real business use cases
Learners who want to deepen their Power BI knowledge beyond beginner-level content
Those looking to strengthen their skills for advanced roles or certification-related topics