Overview

This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to model, analyze, and visualize data efficiently. Participants will begin by exploring calculated columns and tables, understanding their use cases in data modeling and performance optimization. The course progresses to advanced data modeling in Power BI, covering essential techniques like STAR schema design, model relationships, hierarchies, and role-playing dimensions to optimize data structures. Learners will gain expertise in DAX functions, including numerical calculations, measures, quick measures, and analytical queries, ensuring efficient data manipulation. Additionally, this course covers Power BI Desktop features, enabling participants to create calculation groups, work with DAX query view, and improve performance by reducing granularity. Features like date-time formatting, advanced settings in model view, and restricting access to model data are explored to enhance analytical capabilities. This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical understanding and hands-on practice. Participants will engage with 3:00–4:00 hours of instructional content, reinforcing learning through graded and ungraded assignments, ensuring real-world applicability. Whether you're preparing for Power BI certification or seeking to optimize business intelligence workflows, this course equips you with the essential skills to master data modeling, DAX, and visualization for effective analytics. Module 1 - Optimizing Data Models and Performance with DAX in Power BI Module 2 - Power BI Data Modeling: STAR Schema, DAX, and Advanced Modeling Techniques The course is for the Data Managers, Data Analysts, Power BI Associates, and Power BI Experts

Syllabus

Optimizing Data Models and Performance with DAX in Power BI

This module provides a comprehensive understanding of Power BI data modeling, DAX functions, and advanced analytics techniques. Participants will explore key concepts such as calculated columns, tables, measures, and calculation groups to enhance reporting efficiency. The module covers best practices in STAR Schema modeling, hierarchical structures, role-playing dimensions, and optimizing data granularity for performance improvements. Learners will develop proficiency in working with DAX query view, numerical functions, and operators to build dynamic and interactive reports. Additionally, the module emphasizes data security, access control, and comparative insights between Power BI and Excel for robust analytical solutions. By the end of this module, participants will gain hands-on expertise in structuring, modeling, and securing Power BI datasets for optimal business intelligence outcomes.

Power BI Data Modeling: STAR Schema, DAX, and Advanced Modeling Techniques

This module provides a comprehensive understanding of data modeling principles in Power BI, focusing on optimizing data structures for efficient analysis and reporting. Participants will explore the STAR Schema framework, its advantages, and best practices for model relationships, hierarchies, and data granularity. The module covers analytical queries, formatting options in Model View, and advanced settings for date tables, ensuring structured and accurate data representation. Learners will develop proficiency in DAX functions, operators, and role-playing dimensions to enhance reporting flexibility. Additionally, the module emphasizes security measures, including restricted access to model data, and applying good modeling practices to create scalable and high-performance Power BI solutions. By the end of this module, participants will gain hands-on expertise in designing, managing, and optimizing data models for business intelligence success.