Power BI Course Content
On this page you can find Power BI and Power Query Course content for offline training called Power BI Basics or Power Query Basics.
For arranging Power BI / Power Query Training, please Contact BlueNumbers Team.Interactive Content menu
Intro to Power BI (15 minutes)
- Power BI Parts
- Power BI Desktop
- Power BI Service
- Power BI Mobile
- Licenses
- Free vs. Pro vs. Premium per User
- Power BI Embeded (Azure)
- Power BI Premium capacity + Power BI (On-premise) Report Server
- Prices
- Pro - 14 USD (13.1 EUR) per Month per User
- Premium per user - 24 USD (26.2 EUR) per Month per User
- Power BI Premium (3000+ USD / Month per server)
- USE POWER BI ONLY IN ENGLISH!!!
- Language translations of Power BI are not good
- Do not use Slovak, Czech, German, or any other language version
- Task: Change Power BI to english
- Small example of creating Power BI Report
Power Query (4 hours)
(Same for Excel and Power BI)
- Intro to Power Query
- Excel Power Query vs. Power BI Power Query
- Usecase of Power Query (Load, Transform Data, M language)
- Open Power Query
- Describe Power Query Window (Queries, Tables, Steps, Ribbon)
- Operations with one column
- Change name of column
- Change order of columns
- Change Type (Home -> Data type -> decimal (etc))
- Transform / Add column
- Split by delimiter (First name of person, delimiter space)
- Operations with more queries
- Reference, Duplicate and Copy queries
- Merge queries
- Load More CSVs
- Change type by Change Locale
- Load More Excels
- Append Queries
- Other Tips
- Conditional Column
- Group Rows
- Show Advanced Editor – M language
- Load Dataset (Access database AdventureWorks)
- Change Source of Access database
Power BI Desktop Window (4 hours)
(Power BI Only - Shown in Power BI Desktop)
- Report, Data, Relationships
- Edit relationships
- 1-1, 1-*, *-* relationships
- Show many to many relationships error
- Refresh
- Explain Refresh options
- Change DataSource settings
- Intro to visualizations
- Table
- Charts
- Slicer
- Pivot Table (Matrix)
- Maps
- Slicers in detail
- Select All
- Select multiple choices with CTRL
- Vertical List / Dropdown / Other
- Synchronization of slicers
- Date Slicers
- Tables
- Changing order of table columns
- Quick sorting of columns in table
- Formatting and Conditional formatting
- Matrix Tables
- Use Rows, Columns, Values fields
- Use Date Hierarchy - Year, Quarter, Month, Day
- Calculated column
- Column Costs
- Divide (Sales / quantity)
- For Date – WeekDay, WeekNum, Eomonth
- Calculated measure
- Using SUM prefix
- Measure Costs
- All Sales
- Running total TotalYTD
- Calculate DAX Function
- Calculate Function Types (All, one value, filter)
- Calculate All Sales All Products = calculate([All Sales];all(Orders);all('Date'))
- Calculate Technology = calculate([All Sales];Orders[Category] = "Technology")
- Calculate with Filter = calculate([All Sales];filter(Orders;Orders[Sub-Category] = "Phones" || Orders[Sub-Category] = "Machines"))
- Matrix visualization (Months & Years -> Pivot table)
- Quick Column Sumarizations outside DAX
- Sum
- Min, Max, Average
- Count, Count Distinct
- Format data (€, %, decimal numbers)
- Edit Interactions
- Showing Default interactions for charts, tables
- Activate Edit Interaction Pannel
- Usecases for Edit Interactions
- Charts
- Many styles of Charts
- Bar charts
- Pie and Donut charts
- Line charts
- Waterfall chart
- year diff = 'All Sales'[All Sales] - calculate('All Sales'[All Sales];SAMEPERIODLASTYEAR(DimDate[Date].[Date]))
- Scatter chart
- X and Y as All Sales and Quantity
- Play axis as year
- Legend as product category
- Quantity = divide(FactResellerSales[SalesAmount];related(DimProduct[DealerPrice]))
- Filter (Page, Report and visualization filter)
- Export data from Power BI
- Export data from visualization - CSV
- Export by copying Data Table in Data Tab and paste to Excel
- Copy data from Power Query Editor
- Export from visualization in Power BI Service - CSV, XLSX
- Export data by Power Query in Excel
- Hierarchies
- Use Date Hierarchy Year, Quarter, Month, Day
- Drill up & Drill down on date
- Make hierarchy product
- Include & Exclude
- Create calculated table
- Distinct & Summarize
- CountriesTable = distinct(Locations[Country])
- Table_Output = Summarize(Table_IN,Col1,Col2,Col3)
- Manually enter data
- Changing data in Power Query
- Visualization settings
- Explore panel Visuals
- Create or Change Visualization Title
- Change text size in tables and charts
- Coloring charts
- Gauge, Card, KPI
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