2097 Power courses

Business Networking 1 Day Training in Coventry

Business Networking 1 Day Training in Chelmsford

Business Networking 1 Day Training in Bracknell

Business Networking 1 Day Training in Belfast

Business Networking 1 Day Training in Liverpool

Business Networking 1 Day Training in Slough

Business Networking 1 Day Training in Newport

Business Networking 1 Day Training in St Asaph

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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