
Explore data refreshing implications for dashboards, and learn data modeling, column calculations, and visuals like doughnut charts, tree maps, line and clustered column charts, and filled maps, filters and slicers.
Explore storage modes in Power BI Desktop, including import, direct query, live connect, and push. Assess security, bandwidth, and data freshness to build reliable data models.
Explore refresh types in M365 Power BI Desktop, including import, directory, live connect, and push storage modes, and how tiles refresh automatically while visuals may need live connect.
Create visuals from a multi-table model in Power BI Desktop, using product category, sales amount, and channel name in a clustered column chart while noting refresh times for imported data.
Learn how to set up row-level security in Power BI by creating department-based roles, using data analysis expressions, and testing cross-filtering direction before deployment.
Understand referential integrity in data modeling by examining relationships between tables and orphan records. Learn to manage relationships and report refresh options in Power BI Desktop for reliable results.
Explore type detection options in Power BI Desktop and how the schema informs relationships. Test auto-detecting new relationships after data load and keep updates unchecked to preserve stability.
Learn to create calculated columns in Power BI Desktop, decide their placement, and apply a five percent unit price increase with correct syntax and currency formatting.
Create a new Power BI column using DAX to subtract ship date from order date to get days between, and fix 1900 baseline results by formatting as a whole number.
build a line and clustered column chart by placing month on the axis, subtotals in columns, and region as the series, with a profit line for trends.
Apply page and report filters in Power BI to synchronize multiple visuals, using a quantity filter (greater than or equal to 10) across the page and all pages.
Learn how to filter a slicer in Power BI by unchecking values in the filters pane, preserving the audit history and underlying data before pushing to a dashboard.
With nearly 10,000 training videos available for desktop applications, technical concepts, and business skills that comprise hundreds of courses, Intellezy has many of the videos and courses you and your workforce needs to stay relevant and take your skills to the next level. Our video content is engaging and offers assessments that can be used to test knowledge levels pre and/or post course. Our training content is also frequently refreshed to keep current with changes in the software. This ensures you and your employees get the most up-to-date information and techniques for success. And, because our video development is in-house, we can adapt quickly and create custom content for a more exclusive approach to software and computer system roll-outs.
This course continues the journey that started with the beginner course. Since we all want up-to-date dashboards as quickly as possible, data refresh issues and data model issues are considered next, and optimized as much as possible. Column calculations follow to derive even more value from our data. Visuals are built, and then refined with filters and slicers. Finally, these are all implemented on a Power BI dashboard.
You will learn more about the following:
• Data Refresh and Storage Mode Types
• Data Modeling: Cardinality and Filter Direction
• Active / Inactive Relationships
• Referential Integrity
• Column Calculations
• Visualizations
• Donut Chart, Tree Map
• Line & Stacked Column Chart
• Line & Clustered Column Chart
• Map, Filled Map
• Filters and Slicers
• Interactive Dashboard with Filters and Slicers
This course will no longer receive updates. Please see Microsoft 365 Power BI Desktop - Intermediate for newest updates to application.