Our Power BI Certification Program is your Golden ticket!

Learn the basics of establishing relationships between tables in Power BI. This foundational skill is crucial for building robust data models.

• Step-by-step guide to creating relationships
• Best practices for maintaining data integrity
• Troubleshooting common relationship issues

Dive into the star schema, the ideal data model for Power BI. Understand its components and why it's preferred for data modeling.

• Detailed explanation of star schema structure
• Role of dimension and fact tables
• Benefits of using a star schema

Get to know the different types of tables used in Power BI data modeling. Learn how dimension and fact tables work together to organize your data.

• Definitions and examples of dimension tables
• Understanding fact tables and their uses
• Connecting dimension and fact tables in your model

Understand the critical role of data types in ensuring accurate and performant data models. Learn how to set and manage data types effectively.

• Identifying and setting correct data types
• Impact of data types on model performance
• Transforming data types in Power Query

Learn how to profile your data to identify issues and clean it for better model accuracy and performance.

• Techniques for data profiling in Power Query
• Understanding column quality and distribution
• Using data profiling tools effectively

Discover strategies to manage null and empty values in your data. Ensure your data models are accurate and reliable.

• Identifying null and empty values
• Techniques for replacing or handling missing data
• Best practices for maintaining data integrity

Gain a deeper understanding of the various types of relationships in Power BI, including one-to-many, one-to-one, and many-to-many.

• Creating and managing different types of relationships
• Importance of relationship directionality
• Using bridge tables to resolve many-to-many relationships

Learn advanced techniques for creating and managing relationships in Power BI. Optimize your data model for better performance and accuracy.

• Advanced relationship creation techniques
• Managing relationship directionality and filters
• Troubleshooting and resolving relationship issues

Optimize your data model for better performance and easier navigation. Learn tips and tricks to enhance your data model.

• Techniques for data model optimization
• Using hierarchies and display folders
• Best practices for data model maintenance

Discover the importance of date tables in Power BI and learn how to create and utilize them for time-based analysis.

• Building a date table from scratch
• Leveraging time intelligence functions in DAX
• Customizing date tables for specific business needs

Understand why date tables are crucial for accurate time-based analysis in Power BI. Learn how they enhance your data model.

• Benefits of using date tables in data models
• Implementing date tables for time intelligence
• Ensuring accuracy in time-based calculations

Get introduced to DAX (Data Analysis Expressions) and its powerful capabilities. Learn basic concepts and functions.

• Basic concepts and syntax of DAX
• Writing simple DAX measures and columns
• Overview of advanced DAX functions

Learn how to perform basic calculations using DAX. Enhance your data models with powerful calculations and metrics.

• Creating basic DAX measures
• Using DAX functions for common calculations
• Best practices for writing efficient DAX code

Learn how to tweak and optimize your data model for better performance and easier navigation. Ensure your models run smoothly and efficiently.

• Techniques for optimizing data models
• Reducing model size and improving performance
• Best practices for efficient data modeling

Organize your data model by using display folders. Learn how to create and manage display folders for better navigation.

• Creating display folders for organization
• Managing and customizing display folders
• Enhancing model usability with display folders

Understand the importance of documentation in your data model. Learn techniques to document and organize your model for better collaboration.

• Techniques for documenting your data model
• Using descriptions and annotations effectively
• Preparing your model for collaboration and maintenance

Explore the natural language processing capabilities in Power BI. Learn how to prepare your model for Q&A features.

• Setting up Q&A in Power BI
• Adding synonyms and managing language settings
• Enhancing user experience with natural language queries

Learn how to create hierarchies in your data model for better organization and analysis. Simplify complex data structures.

• Building hierarchies from existing fields
• Managing and customizing hierarchies
• Benefits of using hierarchies in reports and visuals

Discover strategies for managing high cardinality columns in your data model. Optimize your model for better performance.

• Identifying high cardinality columns
• Techniques for reducing cardinality
• Best practices for handling high cardinality data

Learn how to build and manage bridge tables to handle complex relationships. Ensure accuracy and clarity in your data model.

• Creating bridge tables for many-to-many relationships
• Managing and optimizing bridge tables
• Troubleshooting common issues with bridge tables

Apply all the knowledge gained in the course to a final project. Demonstrate your mastery of Power BI data modeling.

• Real-world data modeling project
• Peer review and feedback sessions
• Final assessment and certification

By the end of this course, you will have a comprehensive understanding of Power BI data modeling, equipped with the skills and confidence to build powerful, efficient, and accurate data models.