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Dr. Nasir Munir

In today’s data-driven world, the ability to transform raw data into actionable insights is a critical skill across industries. "Power BI Mastery: From Data Fundamentals to Advanced Analytics" is a comprehensive, hands-on course designed to equip participants with the end-to-end skills needed to become proficient Power BI professionals.

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In today’s data-driven world, the ability to transform raw data into actionable insights is a critical skill across industries. "Power BI Mastery: From Data Fundamentals to Advanced Analytics" is a comprehensive, hands-on course designed to equip participants with the end-to-end skills needed to become proficient Power BI professionals.

Whether you're a beginner seeking to break into data analytics or a business professional aiming to enhance your decision-making capabilities, this course will guide you through the full spectrum of Power BI’s capabilities—from data connection and modeling to advanced DAX and interactive dashboard creation.

You’ll start by learning the core principles of Business Intelligence (BI) and exploring the Power BI ecosystem, including Power BI Desktop, Service, and Mobile. Through real-world scenarios and projects, you’ll gain hands-on experience in connecting to diverse data sources, cleaning and transforming data using Power Query, and building efficient, scalable data models following industry best practices like the star schema.

The course will then take a deep dive into Data Analysis Expressions (DAX), empowering you to create calculated columns, dynamic measures, and complex expressions that deliver powerful, context-aware insights. You'll also learn how to apply time intelligence functions, manage filter context, and troubleshoot calculation errors.

Finally, you’ll learn how to design visually compelling, interactive reports and dashboards that communicate insights effectively. From charts and slicers to drill-through pages and KPI indicators, you'll master the visual storytelling techniques that drive smarter business decisions.What You Will Learn:

  • The role of Business Intelligence and Power BI in modern analytics

  • Navigating and using Power BI Desktop, Service, and Mobile applications

  • Importing and connecting to data from Excel, SQL Server, web, and cloud-based sources

  • Data transformation and cleansing with Power Query Editor

  • Building efficient data models and managing relationships between tables

  • Writing effective DAX formulas for advanced calculations and insights

  • Creating interactive dashboards with visuals such as charts, cards, slicers, maps, and tables

  • Publishing reports to the Power BI Service and setting up scheduled data refresh

  • Sharing dashboards with stakeholders and collaborating through Power BI workspaces

  • Applying best practices for performance optimization and data governance

    Who Should Enroll:

    • Business analysts, data analysts, and professionals involved in reporting

    • Finance, marketing, operations, and HR professionals seeking to make data-driven decisions

    • Beginners in data analytics aiming to build foundational and advanced Power BI skills

    • Students and recent graduates looking to enter the field of business intelligenceTools & Technologies Covered:

      • Power BI Desktop

      • Power BI Service

      • Power Query Editor

      • DAX (Data Analysis Expressions)

      • Excel, SQL Server, Web APIs, and Cloud data connectors.

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What's inside

Learning objectives

  • Understand the fundamentals of business intelligence (bi) and articulate the structure and components of the power bi ecosystem, including power bi desktop,
  • Connect to and integrate data from various sources, including excel, sql server, and cloud-based platforms, using power bi’s data connectivity features.
  • Prepare data for analysis by cleaning, transforming, and shaping raw datasets using the power query editor.
  • Design robust data models utilizing best practices such as the star schema, and establish effective relationships between multiple datasets to support accurate
  • Apply dax (data analysis expressions) to build calculated columns, measures, and sophisticated expressions that enable dynamic and insightful analytics.
  • Create compelling, interactive dashboards and reports using power bi’s rich suite of visualizations, including charts, maps, tables, slicers, for decisions.

Syllabus

Introduction
Overview of Dashboards
Explain how to download and install the data
Downloading and installation of Power BI
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Career center

Learners who complete Become a Power BI Expert: Data Analysis, DAX, and Dashboards will develop knowledge and skills that may be useful to these careers:

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 Become a Power BI Expert: Data Analysis, DAX, and Dashboards.
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.
Is widely considered the essential reference for understanding DAX, the formula language of Power BI. It provides a comprehensive deep dive into DAX concepts, evaluation contexts, and optimization techniques. While challenging, it's invaluable for anyone seeking to truly master Power BI's analytical capabilities and is often recommended for intermediate to advanced users and professionals.
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.
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.
Seminal work on the subject of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Tufte's work is deeply rooted in using data visualization to present only truth and avoid misrepresenting data. This book is very thorough and can be challenging for those who are new to dashboards.
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.
Serves as a practical cookbook for solving common business problems using DAX. It provides a collection of reusable DAX patterns, making it an excellent companion to 'The Definitive Guide to DAX' for applying DAX in real-world scenarios.
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.
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.
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.
This Pulitzer Prize-winning book powerful example of in-depth, long-form reporting on a critical social issue. It demonstrates the impact that thorough reporting and compelling storytelling can have in bringing important issues to light. It serves as an inspiration and a model for aspiring investigative and feature reporters.
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.
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.
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.
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.
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.
An advanced guide to DAX, focusing on performance optimization and best practices for data modeling, calculation, and visualization, suitable for experienced users and professionals.
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.
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.
Provides a comprehensive overview of Power Query, covering everything from connecting to data sources to transforming and loading data into Power BI. It is an excellent resource for anyone who wants to learn more about Power Query.
Provides a comprehensive overview of Power Query for Azure Data Lake. It is an excellent resource for anyone who wants to learn how to use Power Query to connect to, transform, and load data into Azure Data Lake.
This comprehensive guide provides a step-by-step approach to data transformation, covering topics such as data quality assessment, data cleaning, data integration, and data standardization. It is ideal for both business and IT professionals who need to understand and implement data transformation projects.
This handbook explores the growing field of data journalism, providing both theoretical context and practical examples of how data can be used in reporting. It is highly relevant to contemporary reporting, covering techniques for acquiring, cleaning, analyzing, and visualizing data for journalistic purposes. valuable resource for understanding the intersection of data and reporting.
Provides a comprehensive look at ethical considerations in journalism, particularly in the context of the digital age. It examines common ethical dilemmas and offers frameworks for making responsible decisions in reporting. This crucial read for anyone practicing or studying reporting today.
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.
Outlines the essential principles and purpose of journalism in a democratic society. It delves into the core values and responsibilities of reporters, providing a strong ethical and philosophical framework for reporting. It is considered a fundamental text in journalism ethics and practice.
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.
In an age of increasing data and misinformation, this book provides essential skills for critically evaluating claims and identifying misleading uses of data. This is crucial for reporters who must verify information and present it accurately to the public. It enhances the ability to report responsibly in a data-saturated environment.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Collection of essays on data visualization, written by one of the leading experts in the field. Yau covers a wide range of topics, from the history of data visualization to the latest trends in the field. This book provides a lot of real-world examples of dashboards and how they are used.
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 guide focuses on the specialized skills and techniques required for investigative reporting. It covers methods for finding and analyzing data, using public records, and structuring complex investigative narratives. is valuable for those looking to deepen their reporting skills and tackle more in-depth stories.

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