Enhance your Power BI expertise with our Data Transformation & Modeling course, tailored for data analysts and business intelligence professionals aiming to optimize data quality and build high-performing semantic models.
EnrollOptimize data quality and address errors
Implement and maintain star schemas
Write advanced DAX functions for dynamic reporting
Enhance data security with row-level security techniques
Take your Power BI skills to the next level with Power BI: Data Transformation and Modeling, an engaging, hands-on course designed for professionals who already know the basics and want to refine their expertise. Throughout the course you will learn gain the tools and techniques to handle real-world challenges like optimizing data quality, creating scalable queries, and building high-performing semantic models. This course focuses on practical applications, ensuring you can confidently retrieve and connect data from various sources, address data quality issues, and manipulate queries with advanced techniques. You'll also explore best practices for creating and maintaining star schemas, writing efficient DAX measures, and implementing row-level security to enhance data governance. Through a mix of expert-led instruction and hands-on activities, you'll not only expand your technical skills but also learn strategies to make your reports more reliable, insightful, and secure. Whether you're fine-tuning relationships, improving report performance, or setting up parameters and incremental refresh, this course equips you with techniques you can immediately apply in your role. By the end of the course, you'll be ready to build Power BI reports and models that align with best practices and deliver impactful results for your organization.
Entering Your Credentials
Change Data Source Settings
Editing Permissions
Writing your own SQL code
Using Folders and SharePoint Folders
Turning on the profiling tools
Profiling on more than 1000 rows
Handling errors and data types
Adding, deleting, rearranging steps
Using The Advanced Editor
Replacing and adding data
Adding new queries and columns
Combining queries
Duplicating and referencing queries
Resolving errors
Re-using work in other queries
Creating and using parameters
Explanation of the Semantic Model
Types of relationships
Importance of filtering
Adding content using DAX
Evaluating report performance
Security overview
Dynamic and static methods
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier