Course Outline
Introduction
- Overview of Power BI capabilities and system architecture
- Utilization of advanced tools for comprehensive data analysis in Power BI
Getting Started
- Installation procedures for Power BI and associated components
- Strategic approaches to data management for operational efficiency
- Fundamentals of the Data Analysis Expressions (DAX) language
Managing Data
- Data querying and aggregation techniques
- Integration of R with M query syntax
- Data importation and transfer protocols
- Methods for pivoting and unpivoting data structures
- Techniques for transposing and joining data tables
- Best practices for leveraging advanced functionalities
Advanced Data Modeling
- Management of tables and dimensional structures
- Determination of appropriate data granularity
- Configuration of relationships and cardinality constraints
- Development of measures using DAX
- Optimization of data models for enhanced performance
- Resolution of common modeling discrepancies
Advanced Rules and Calculations using DAX
- Creation of calculated tables via formulaic expressions
- Implementation of conditional logic functions
- Filtering mechanisms across multiple tables
- Handling disconnected table relationships
- Application of variables within DAX expressions
- Understanding and managing calculation and filtering contexts
- Development of dynamic measures
Advanced Visualizations, Reports, and Dashboards
- Overview of available visualization types in Power BI
- Customization of visual elements
- Development of geographic map visualizations
- Generation of custom visuals using R
- Utilization of filters and slicers within reports
- Enhancement of visual components for reporting clarity
- Establishment of automated workflows via Power Automate
- Implementation of Question-and-Answer (Q&A) visuals
- Optimization of dashboards for mobile device compatibility
- Guidelines for designing effective dashboard layouts
Working with Embedded Analytics in Power BI
- Configuration of the analytics development environment
- Exploration of Power BI REST APIs and client-side APIs
- Practical examples and application use cases
Troubleshooting
Summary and Next Steps
Requirements
- Proficiency in Microsoft Power BI
- Competence in the DAX expression language
Target Participants
- Business analysts
- Data analysts
- Software developers
Client satisfaction rates for government applications stand at 96%.
Testimonials (5)
Johann's experience is very relevant and I particularly appreciated his efforts to share with us his experience on what commonly works best, and the common pitfalls of dashboards preparation.
Eduardo Pinto - European Space Agency
Course - Advanced Power BI
The engagement and approach Johann took on the course was quite adequate, as well as adaptable to the audience and progress made.
Isidro de Paz - European Space Agency
Course - Advanced Power BI
The time spent on data modeling. As most of the persons are not IT, it is good for everyone to know the implication of the relationships and the useful star concept
Filipe Fernandes - European Space Agency
Course - Advanced Power BI
get to know the trainees first in order to better adapt the training, details about SharePoint, Good habits to implement BI
Lisboa Abel Vilanculos - Electricidade de Mocambique
Course - Advanced Power BI
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs