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Power BI - intermediate (2 day) (In-House)

Power BI - intermediate (2 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

  • Two days

  • All levels

Description

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations.

The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth.

1 The Query Editor

  • Grouping rows in a table
  • Split row by delimiter
  • Add days to determine deadlines
  • The query editor

2 Fuzzy Matching Joins

  • Matching inconsistencies by percentage
  • Matching with transformation table

3 The Query Editor M Functions

  • Adding custom columns
  • Creating an IF function
  • Nested AND logics in an IF function

4 DAX New Columns Functions

  • Including TRUE with SWITCH
  • Using multiple conditions
  • The FIND DAX function
  • The IF DAX function
  • Logical functions IF, AND, OR

5 Editing DAX Measures

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

6 The Anatomy of CALCULATE

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

7 The ALL Measure

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

8 DAX Iterators

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

9 Date and Time Functions

  • Overview of functions
  • Create a DATEDIFF function

10 Time Intelligent Measures

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

11 Visualisations In-Depth

  • Utilising report themes
  • Applying static filters
  • Group data using lists
  • Group numbers using bins
  • Creating heatmaps
  • Comparing proportions
  • View trends with sparklines

12 Comparing Variables

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

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