Description
You've probably already heard of Power BI and seen a few examples of visually appealing dashboards and interactive reports. You'd like to build a report like that yourself, but where do you actually start?
In this two-day training, we walk through the different phases involved. We import our data through queries, build a data model with the necessary relationships and calculations, build an interactive report, and publish it to the cloud. Finally, we create a dashboard in the cloud that we can share with colleagues.
Objectives
After this Power BI training, you'll be able to:
Import data through queries
Transform data via queries into usable, meaningful tables
Build a data model with relationships, custom sorting, a date dimension table, and more
Create reports in a Power BI Desktop environment
Create dashboards in a Power BI Service environment
Share reports and dashboards with colleagues
Use handy tips & tricks to enhance your reports with bookmarks and tooltips
Use various filtering options such as slicers, visual-level filters, page-level filters, report-level filters and drillthrough filters
Set up interactions between charts
…
Target audience
Anyone who wants a solid foundation for building and sharing reports and dashboards in Power BI.
Prerequisites
No prior knowledge of Power BI is required.
Contents
Part 1: Overview of Power BI
Components of Power BI
Licenses: what you need to create, share and view reports
Part 2: Power Query
Importing data from various sources
Transforming data (removing duplicates, filtering, adding/splitting columns, etc.)
Merging multiple files from a folder into one table
Part 3: Data modeling
Difference between dimension and fact tables
Creating relationships between tables
Using a date table and custom sorting
Setting up standard calculations
Hiding helper columns in the model
Part 4: Calculations (DAX)
Differences between calculated tables, columns and measures
Creating basic measures
Part 5: Reports
Visualization types (bar, column, area, treemap, pie, card, map, table, matrix, gauge, KPI, etc.)
Visual properties and conditional formatting
Filtering options (slicers, visual/page/report level filters, drillthrough)
Interactions between visuals (e.g. cross-chart highlighting)
Drilldown functionality
Bookmarks and action buttons
Custom tooltips
Themes
Part 6: Power BI Service
Publishing reports to Power BI Service
Difference between reports and dashboards
Sharing reports and dashboards
Setting up automatic data refresh
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