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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.

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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

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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.
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Career center

Learners who complete Power BI: Data Modeling and Data Analysis will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
A Business Intelligence Analyst is crucial for understanding business performance and drivers, translating complex data into clear, concise, and actionable intelligence for stakeholders. This role involves designing dashboards, creating reports, and identifying trends. This course offers a comprehensive foundation in Power BI, a leading tool in business intelligence, making it an excellent fit for this career. You will gain expertise in advanced data modeling, including STAR schema design, and learn to optimize data structures for efficient analysis, directly supporting robust BI solution development. Proficiency in DAX functions for intricate calculations and analytical queries, alongside features like calculation groups and performance optimization, will enable you to build dynamic and interactive reports. This course helps you master data modeling, DAX, and visualization, essential for success as a Business Intelligence Analyst and for optimizing business intelligence workflows.
Data Modeler
A Data Modeler is responsible for designing and implementing the structure of databases and data warehouses, ensuring data integrity, efficiency, and scalability for analytical purposes. This course is exceptionally well-suited for aspiring Data Modelers, as it provides a comprehensive understanding of advanced data modeling principles in Power BI. You will delve into essential techniques such as STAR schema design, mastering model relationships, hierarchies, and role-playing dimensions to optimize data structures. The module's focus on optimizing data granularity for performance improvements and applying good modeling practices is directly relevant to building scalable, high-performance data models. By gaining hands-on expertise in structuring, managing, and securing Power BI datasets, you will develop the fundamental skills required to excel as a Data Modeler, ensuring efficient and accurate data representation for business intelligence success.
Business Intelligence Developer
A Business Intelligence Developer focuses on building and maintaining BI solutions, including data warehouses, ETL processes, and analytical tools, to empower organizations with data-driven insights. This course provides a comprehensive foundation in Power BI, a core tool for many BI Developers, arming you with skills essential for this dynamic role. You will gain expertise in constructing calculated columns and tables, along with advanced data modeling techniques such as STAR schema design, which are critical for developing robust and efficient BI solutions. Proficiency in DAX functions, including numerical calculations and analytical queries, will allow you to implement complex business logic within your models. The course's emphasis on performance optimization, managing data granularity, and implementing data security measures ensures you can build scalable, high-performance Power BI solutions, directly preparing you for success as a Business Intelligence Developer.
Data Analyst
A Data Analyst plays a pivotal role in transforming raw data into actionable insights, helping organizations make informed decisions. This career involves collecting, processing, and performing statistical analyses on data, often culminating in the creation of comprehensive reports and interactive dashboards. This course directly equips you with the essential skills for this role, providing a comprehensive foundation in Power BI. You will gain expertise in constructing calculated columns and tables, mastering advanced data modeling techniques like STAR schema design, and leveraging DAX functions for intricate numerical calculations. By understanding granular data optimization and developing proficiency in DAX query view, you will be able to build dynamic, efficient analytical solutions. Learners of this course will be well-prepared to effectively model, analyze, and visualize data, directly aligning with the core responsibilities of a Data Analyst and fostering success in this analytical career path.
Reporting Analyst
A Reporting Analyst specializes in creating and distributing insightful reports and dashboards that help organizations track performance, identify trends, and support decision-making processes. This course provides a comprehensive foundation in Power BI, making it an ideal choice for anyone aiming to excel in a Reporting Analyst role. You will gain expertise in developing calculated columns and measures using DAX functions, which are critical for preparing data and creating dynamic, interactive reports. The course covers advanced data modeling techniques, including STAR schema design and hierarchies, ensuring your reports are built on a solid, efficient data structure. By learning about Power BI Desktop features, such as calculation groups and DAX query view, you will be able to create sophisticated and performant analytical solutions. Practical skills in data visualization and efficient analytics are core to this course, directly preparing you to create compelling and effective reports.
Consultant Business Intelligence
A Consultant Business Intelligence advises clients on designing, implementing, and optimizing BI solutions to meet their strategic objectives and unlock the power of their data. This course is exceptionally well-suited for aspiring Consultant Business Intelligence professionals, providing a comprehensive foundation in Power BI and its advanced capabilities. You will gain expertise in advanced data modeling techniques, including STAR schema design, model relationships, and role-playing dimensions, which are crucial for architecting effective BI solutions for diverse client needs. Proficiency in DAX functions for complex calculations and analytical queries, combined with an understanding of performance optimization, will enable you to deliver high-performing and scalable Power BI implementations. The course's coverage of data security and best practices helps build a strong foundation for advising clients on robust, secure, and efficient business intelligence workflows, preparing you to succeed in a consulting capacity.
Financial Analyst
A Financial Analyst provides critical insights into an organization's financial health, performance, and strategic direction, often relying heavily on data analysis, forecasting, and detailed reporting. This course can be highly valuable for a Financial Analyst, offering a comprehensive foundation in Power BI to streamline financial data modeling, analysis, and visualization. You will gain expertise in DAX functions, which are invaluable for complex financial calculations, such as trend analysis, budgeting, and performance metrics. Mastering advanced data modeling techniques like STAR schema design ensures you can efficiently integrate and analyze diverse financial datasets. The ability to create calculation groups and optimize data granularity will empower you to build dynamic and interactive financial reports and dashboards, enabling more agile and accurate financial planning and analysis. This course helps you enhance your analytical capabilities, making you a more effective and impactful Financial Analyst.
Marketing Analyst
A Marketing Analyst plays a vital role in understanding market trends, customer behavior, and campaign performance, translating data into actionable strategies for marketing teams. This course can significantly benefit a Marketing Analyst, equipping you with a comprehensive foundation in Power BI for effective marketing data analysis and visualization. You will gain expertise in DAX functions, essential for calculating key performance indicators, measuring campaign effectiveness, and segmenting customer data. Mastering advanced data modeling techniques, including STAR schema design and model relationships, will allow you to integrate various marketing data sources efficiently, from website analytics to CRM data. The course's focus on Power BI Desktop features, performance optimization, and creating interactive reports directly supports the creation of dynamic marketing dashboards, enabling a Marketing Analyst to derive deeper insights and drive successful marketing initiatives.
Operations Analyst
An Operations Analyst focuses on optimizing business processes, improving efficiency, and driving operational excellence through data-driven insights. This course can be highly beneficial for an Operations Analyst, providing a comprehensive foundation in Power BI for robust operational data modeling, analysis, and visualization. You will gain expertise in DAX functions, which are critical for calculating operational metrics, tracking performance against targets, and identifying bottlenecks. Mastering advanced data modeling techniques, including STAR schema design and hierarchies, will enable you to efficiently structure and analyze complex operational datasets, such as supply chain or production data. The course's emphasis on performance optimization, managing data granularity, and creating interactive reports empowers an Operations Analyst to build dynamic dashboards for real-time monitoring and actionable insights, fostering continuous improvement and strategic operational decisions.
Product Analyst
A Product Analyst focuses on analyzing product performance, user behavior, and market feedback to inform product development strategies and drive product growth. This course can be highly valuable for a Product Analyst, providing a comprehensive foundation in Power BI for impactful product data modeling, analysis, and visualization. You will gain expertise in DAX functions, which are essential for calculating product usage metrics, conversion rates, and user engagement scores. Mastering advanced data modeling techniques, including STAR schema design and model relationships, will allow you to integrate diverse product datasets, such as telemetry, sales, and customer feedback. The course's emphasis on Power BI Desktop features, performance optimization, and creating interactive reports enables a Product Analyst to build dynamic dashboards for monitoring key performance indicators and identifying opportunities for product enhancement, helping to drive informed product decisions.
Business Systems Analyst
A Business Systems Analyst acts as a bridge between business needs and technological solutions, often playing a key role in defining requirements for data-driven systems and reporting tools. This course can be highly valuable for a Business Systems Analyst, providing a comprehensive foundation in Power BI that enhances your ability to understand, define, and recommend business intelligence solutions. You will gain expertise in advanced data modeling, including STAR schema design and model relationships, allowing you to articulate data requirements more effectively to technical teams. Understanding DAX functions for analytical queries and performance optimization in Power BI enables you to better evaluate the feasibility and impact of proposed BI initiatives. This course helps you to translate complex business problems into structured data solutions and to appreciate the nuances of data modeling and analysis, fostering more effective communication and successful project delivery.
Data Architect
A Data Architect is responsible for designing and implementing an organization's data strategy, including the structure, integration, and security of data assets. This role typically requires an advanced degree, focusing on creating robust, scalable, and secure data environments that support various business needs. This course may be useful for a Data Architect as it offers a comprehensive understanding of data modeling principles within Power BI, which can inform broader architectural decisions. You will explore advanced data modeling techniques such as STAR schema design, essential for optimizing data structures for efficient analysis. The emphasis on model relationships, hierarchies, and managing data granularity for performance improvements directly contributes to designing effective data solutions. Furthermore, the module covering data security and restricting access to model data is highly relevant for establishing robust data governance and security frameworks, helping to build a strong foundation for managing data at an enterprise level.
Data Engineer
A Data Engineer builds and maintains the infrastructure and systems for collecting, storing, processing, and delivering large datasets, ensuring data readiness for analytics and machine learning. While the core focus of a Data Engineer is often on data pipelines and ETL, a strong understanding of how data is consumed and modeled for analysis is crucial. This course may be useful for a Data Engineer as it provides a comprehensive understanding of advanced data modeling principles in Power BI, particularly STAR schema design and optimizing data structures for efficient analysis. The emphasis on managing data granularity and performance improvements directly relates to designing effective data sources for downstream consumption. Understanding how data is modeled for business intelligence helps a Data Engineer to create more efficient and analytically friendly data pipelines, helping to build a foundation for robust data architecture.
Enterprise Architect
An Enterprise Architect designs and oversees an organization's overall IT strategy, ensuring that all systems and data assets align with business goals. This role involves a high-level view of technology, processes, and information, and typically requires an advanced degree. This course may be useful for an Enterprise Architect in understanding how data is optimally structured and managed for analytical purposes within the enterprise. It provides a comprehensive foundation in Power BI's capabilities for advanced data modeling, including STAR schema design, model relationships, and performance optimization techniques like reducing granularity. Gaining expertise in DAX functions and understanding how to secure model data are crucial for ensuring the integrity, performance, and accessibility of analytical insights across the organization. This perspective helps in designing overarching data strategies that support efficient business intelligence workflows, contributing to a holistic and integrated enterprise architecture.
Data Scientist
A Data Scientist is often at the forefront of extracting knowledge and insights from data, applying advanced statistical methods, machine learning, and programming to solve complex problems and predict future trends. While this role typically requires an advanced degree, the fundamental understanding of data structures and efficient data manipulation is critical. This course may be useful for an aspiring Data Scientist as it provides a comprehensive foundation in Power BI, focusing on optimizing data models and enhancing analytical capabilities. You will explore calculated columns, tables, and measures, along with advanced data modeling using STAR schema design, which are foundational concepts for preparing data for more sophisticated analysis. Proficiency in DAX functions for analytical queries and understanding data granularity can significantly streamline the data preparation phase, enabling a Data Scientist to more effectively cleanse, explore, and structure data before applying complex algorithms. This course can help build a strong understanding of robust data handling, which is a key prerequisite for success in data science.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Power BI: Data Modeling and Data Analysis.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
This classic book must-read for anyone working with data warehouses. It provides a deep dive into dimensional modeling, including star schemas and their implementation. The authors are leading experts in the field.
This newer edition of the highly regarded Definitive Guide, updated to include the latest developments in Microsoft's data platform, including Fabric. It remains the most comprehensive resource for a deep understanding of DAX and its application in modern BI environments.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Offers a collection of reusable DAX solutions to common business problems. It's an excellent companion to the Definitive Guide, providing practical examples and proven techniques. It's highly valuable for deepening understanding and as a reference tool for real-world scenarios.
Focuses specifically on Power Query (M), the data transformation engine in Power BI. It's an excellent resource for users who need to connect to, clean, and shape data efficiently before analysis. It covers the M language in detail with practical examples, making it highly relevant for data preparation tasks.
Provides a comprehensive view of system performance analysis and tuning across various operating systems and environments, including enterprise systems and cloud platforms. It is highly regarded in the field and is valuable as a reference for understanding the methodologies and tools used in performance optimization. It delves into the internals of systems, making it suitable for those seeking a deeper understanding beyond basic tuning techniques. This book is commonly used by industry professionals.
A comprehensive and in-depth guide to DAX, covering advanced concepts and techniques for data modeling, calculation, and visualization, making it suitable for experienced users and professionals.
A comprehensive guide to mastering the Power Query M language, this book is for users who need to perform complex data transformations. It delves into the intricacies of M code and provides practical examples for real-world problems.
The second edition of this book provides updated coverage on expert data modeling techniques in Power BI. It's a key resource for users looking to build optimized data models for complex reporting and business needs.
Written by the same authors as 'The Definitive Guide to DAX', this book provides a strong foundation in data modeling and analysis using Power BI and Power Pivot. It's a great bridge for those transitioning from Excel and offers clear explanations of key concepts with practical examples.
While focused on data modeling, this book is highly relevant as effective data modeling is foundational to writing good DAX and creating calculated columns. It's essential for understanding the context in which calculated columns operate and for deepening overall BI skills.
A definitive guide for Java developers, this book provides detailed insights into tuning and optimizing Java applications. It covers JVM internals, garbage collection, and threading, offering practical advice and techniques. It is considered a must-read for Java professionals and is often referenced for its in-depth coverage of Java-specific performance issues.
Provides a beginner-friendly introduction to data modeling, covering fundamental concepts, techniques, and diagramming. It includes hands-on exercises and self-tests to reinforce learning, making it suitable for high school and undergraduate students, as well as those new to the field.
Delves into more complex DAX concepts and real-world business scenarios. It's suitable for those who have a working knowledge of DAX and want to deepen their understanding and tackle advanced problems. It's a valuable resource for experienced users.
Focuses on the practical application of Power Query for data collection, combination, and transformation in both Excel and Power BI. It's a valuable resource for anyone who spends significant time preparing data for analysis.
Focusing on database performance, this book must-read for anyone working with MySQL. It covers essential techniques for optimizing MySQL databases, including query tuning, schema design, and leveraging features for scalability. It widely recognized resource in the database community.
The first volume in a series, this book offers a collection of universal data models applicable across various industries. It's a practical guide providing pre-built patterns for common business concepts like parties, products, and orders. This is an excellent reference for data modelers at all levels, particularly useful for jump-starting modeling projects.
Focuses on the essential skill of data modeling within Power BI, covering concepts relevant to Power BI, Analysis Services tabular, and SQL databases. It's a valuable resource for understanding how to structure data for effective analysis.
Aimed at intermediate to advanced users, this book delves into expert techniques for creating impactful Power BI solutions. It covers various aspects of Power BI, including data modeling, visualization, and deployment, making it a valuable resource for professionals seeking to enhance their skills.
An advanced guide to DAX, focusing on performance optimization and best practices for data modeling, calculation, and visualization, suitable for experienced users and professionals.
Another strong resource for learning Power Query, this book by a well-known Power BI expert covers data transformation techniques in detail. It's suitable for users who want a thorough understanding of Power Query's capabilities.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
A guide for C++ developers, this book focuses on optimizing the performance of C++ applications. It covers identifying bottlenecks, measuring performance, optimizing data structures and algorithms, and utilizing multi-core processors. It practical resource for C++ programmers aiming to improve code efficiency.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Offers a more advanced perspective on DAX within Power BI, Power Pivot, and SSAS Tabular. It explores complex scenarios and techniques, making it suitable for users looking to deepen their understanding and tackle challenging problems.
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Offers a technical deep dive into Java performance, analyzing code at the bytecode level and providing practical optimization techniques for JVM applications. It complements Scott Oaks' book by offering a slightly different perspective and more code-centric examples. It valuable resource for experienced Java developers seeking to fine-tune their applications.
Offers a practical, step-by-step guide to relational database design, including data modeling principles. It's aimed at beginners and those without extensive technical backgrounds, making it suitable for high school or early undergraduate students and business professionals who need to understand database fundamentals.
While not solely focused on data modeling, this book provides a comprehensive overview of the systems and concepts underlying modern data management. It discusses various data models in the context of distributed systems, scalability, and reliability, offering valuable insights for architects and engineers.
This guide provides a quick introduction to Power BI for beginners, covering essential topics like data modeling, visualization, and storytelling with data. It's a good resource for getting up to speed quickly with the core functionalities of Power BI.
Aims to help Power BI users understand the underlying concepts of DAX to write more effective measures. It focuses on building a strong foundation in DAX thinking, which is essential for creating accurate and insightful measures in Power BI. This good resource for those who have started using DAX but need to improve their understanding of how it works to write more complex measures.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
Explores reusable data model patterns for common business structures. It helps in applying data modeling rules in an enterprise context and provides high-level models for various business areas. This valuable resource for experienced modelers and professionals looking for proven solutions to recurring modeling challenges.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Presents an agile approach to dimensional modeling, emphasizing collaboration and iterative development. It provides practical techniques for designing dimensional models that effectively support business requirements and the creation of measures. This valuable resource for data modelers and BI teams looking to adopt a more agile methodology for their data warehousing projects.
Serves as a practical guide for beginners to get started with self-service data analytics using Power BI Desktop and Excel. It covers the fundamental steps involved in the BI process using these tools.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Specifically aimed at Excel users transitioning to Power BI, this book leverages existing Excel knowledge to introduce Power Pivot, Power Query, and DAX. It's a helpful resource for those with a strong Excel background looking to expand their capabilities.
This comprehensive reference guide covers a wide range of Power BI features, from installation and data modeling to dashboard creation and administration. It's a useful resource for gaining a broad understanding of the Power BI toolset.
A comprehensive guide to DAX for Power BI, covering essential concepts, functions, and techniques for data analysis and reporting, making it suitable for beginners and intermediate users.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Addresses the importance of having a sound data strategy in the age of big data and IoT. It helps readers understand how to leverage data, analytics, and Business Intelligence to drive profitability and gain a competitive edge.

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