Who should attend
Anybody who wants to take their Power BI skills to the next level.
Learning Objectives
Attendees will be able to use Power BI Desktop to analyse and clean data and build insightful reports and dashboards.
Course Content
The course covers following topics related to cleaning and shaping data,reporting, data modelling and DAX (the calculation language of Power BI).
Reporting and visualising data
- Build several chart types: bar charts, line charts, scatter plots, matrix and table visuals, and maps
- Use interactions between visuals (as a filter, highlight) to good effect
- Use field parameters to construct flexible charts
- Improve charts with reference lines e.g. averages, trends, clusters,
- Create drill-though pages
- Build custom tooltips
Cleaning and shaping data with Power Query
- Useful clean and transform data operations in the Query Editor e.g. summarise, pivot and unpivot data
Data modelling
- fact and dimension tables
- star schema patterns
- some essential data modelling techniques from the data modelling course
DAX
- how to write some simple but useful DAX measures and calculations e.g. sums, averages and ratios.
- visual calculations: e.g., running sum, moving average, change on previous, year to date.
- some essential topics from the DAX course
Course Length
1 day (short version) or 2 days (preferred, full version)
Pre-requisites
Basic familiarity with Power BI, for example by having attended the foundation course.
Example case study
One of the possible case studies for this course is to calculate the league table of football’s English Premier League from the match record.
More details are here. By the end of the course, you will have created a report similar to the snapshot below.
Snapshots from the course exercises
