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Power BI - advanced (1 day) (In-House)

Power BI - advanced (1 day) (In-House)

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • Delivered Online or In-Person

  • Delivered at your location

  • UK Wide

  • Full day

  • All levels

Description

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code.

This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references.

This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables.

1 The query editor

  • Split by row delimiter
  • AddDays to determine deadlines
  • Advanced query editor

2 Fuzzy matching joins

  • Matching inconsistencies by percentage
  • Matching with transformation table

3 Logical column functions

  • Logical functions IF, AND, OR
  • Using multiple conditions
  • Including FIND in functions

4 Editing DAX measures

  • Make DAX easier to read
  • Add comments to a measure
  • Using quick measures

5 The anatomy of CALCULATE

  • Understanding CALCULATE context filters
  • Adding context to CALCULATE with FILTER
  • Using CALCULATE with a threshold

6 The ALL measure

  • Anatomy of ALL
  • Create an ALL measure
  • Using ALL as a filter
  • Use ALL for percentage

7 DAX iterators

  • Anatomy of iterators
  • A closer look at SUMX
  • Using RELATED in SUMX
  • Create a RANKX
  • RANKX with ALL

8 Date and time functions

  • Overview of functions
  • Create a DATEDIFF function

9 Time intelligent measures

  • Compare historical monthly data
  • Create a DATEADD measure
  • Creating cumulative totals
  • Creating cumulative measures
  • Visualising cumulative totals

10 Visualisations in-depth

  • Utilising report themes
  • Create a heatmap
  • Comparing proportions
  • View trends with sparklines
  • Group numbers using bins
  • Setting up a histogram

11 Comparing variables

  • Visualising trendlines as KPI
  • Forecasting with trendlines
  • Creating a scatter plot
  • Creating dynamic labels
  • Customised visualisation tooltips
  • Export reports to SharePoint

12 User level security

  • Setting up row level security
  • Testing user security

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