Power BI Intermediate to Advanced

Yes, participants should already have a basic understanding of Power BI, including creating reports, importing data, and using basic visualisations before attending this course.

We highly recommend completing a beginner-level Power BI course or having equivalent knowledge.

Yes, the course covers advanced DAX concepts including context transition, iterator functions, time intelligence functions, CALCULATE(), and DAX optimisation techniques.

Yes, participants will learn advanced data modelling concepts including star and snowflake schemas, many-to-many relationships, role-playing dimensions, and model performance optimisation.

Yes, the course includes publishing reports to Power BI Service, managing workspaces, configuring scheduled refreshes, creating dashboards, and implementing Row-Level Security (RLS).

SQL knowledge is not mandatory, but it can be helpful when working with data sources and advanced analytics workflows.

If you attend the course at our London training centre, laptops with Power BI already installed are provided for use during the session.

For online training, you will need access to a laptop or desktop computer with Power BI Desktop installed.

Participants will receive practice datasets, Power BI templates, DAX and M language cheat sheets, slides, and post-course exercises.

After completing this course, you can progress to advanced data analytics, data science, AI-driven reporting, Python for data analysis, or specialised business intelligence and analytics workflows.

You will learn advanced Power BI techniques including data modelling, complex DAX calculations, Power Query transformations, performance optimisation, advanced visualisations, Power BI Service deployment, and predictive analytics concepts.

Yes, the course includes advanced Power Query techniques such as merging queries, handling errors, parameterising queries, creating custom columns, and using the M language for data transformation.

Yes, the course covers performance optimisation techniques such as reducing model size, avoiding cardinality issues, using variables in DAX, and analysing query performance.

Yes, the course introduces forecasting concepts and Python integration within Power BI for predictive analytics scenarios.

You should have the latest version of Microsoft Power BI Desktop installed before attending the course.

An optional Power BI Service account may also be useful for deployment and sharing practice.

Yes, the course is highly practical and includes hands-on exercises, practice datasets, report-building activities, and real-world business scenarios.

The course is instructor-led and can be attended live online, in person at our London training centre, or delivered on-site at your organisation for corporate training.