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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

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This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this comprehensive course, you will gain a deep understanding of Microsoft Power BI and how to effectively use it for data analysis and visualization. The course covers everything from basic business intelligence concepts to more advanced topics such as data modeling, DAX functions, and creating interactive dashboards. By mastering these skills, you'll be able to make informed business decisions using powerful visualizations and data insights.

The course begins with an introduction to business intelligence concepts, followed by detailed instructions on setting up and connecting Power BI with various data sources such as Excel, SQL Server, and web pages. You will then delve into Power Query for data transformation, learning how to manipulate and clean your data.

As you continue, you'll explore data modeling techniques, building relationships between different data sets, and mastering DAX functions for creating calculated columns and measures. The course also covers visualization techniques, including creating tables, charts, and maps, and how to format and customize your reports for maximum impact. Finally, you'll learn how to publish and share your reports via Power BI Service, including setting up dashboards and using row-level security.

This course is perfect for individuals looking to enhance their data analysis skills and gain a strong foundation in Power BI. Whether you're a business analyst, data professional, or someone looking to upskill in data visualization, this course will take you through the essential concepts and tools in Power BI.

By the end of the course, you will be able to connect Power BI to multiple data sources, transform data using Power Query, build complex data models and relationships, create detailed reports and dashboards, and publish them securely using Power BI Service.

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What's inside

Syllabus

Business Intelligence Concepts and Introduction
In this module, we will explore the essentials of Business Intelligence and how Microsoft Power BI empowers professionals to derive insights from data. We will break down BI concepts, data warehousing, and ETL processes in simple terms. Finally, you will get hands-on with Power BI Desktop installation, interface navigation, and connecting to multiple data sources.
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Career center

Learners who complete Master in Microsoft Power BI Desktop and Service will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
A Business Intelligence Analyst is crucial for translating complex data into actionable insights, guiding strategic decision-making across an organization. This course, "Master in Microsoft Power BI Desktop and Service," directly equips you with the comprehensive skills needed for this role. You will learn to connect Power BI with diverse data sources, transform raw data using Power Query, and build complex data models to accurately represent business realities. Furthermore, mastering DAX functions for advanced calculations and creating interactive, detailed reports and dashboards will be central to your work as a Business Intelligence Analyst, allowing you to publish and share these insights securely via Power BI Service. This specialized training provides a robust foundation in the primary tools and techniques for excelling in this field.
Reporting Specialist
A Reporting Specialist is dedicated to designing, developing, and distributing accurate, timely, and impactful business reports to various stakeholders across an organization. The "Master in Microsoft Power BI Desktop and Service" course is exceptionally well-suited for a Reporting Specialist, offering granular instruction on every stage of report creation. You will gain proficiency in connecting to multiple data sources, transforming and cleaning data with Power Query, and building robust data models. Crucially, the course focuses on creating diverse visualization types in Power BI, including charts, maps, and KPIs, and covers advanced features like conditional formatting and drill-through. Learning to publish and secure these reports via Power BI Service, including row-level security, ensures widespread and controlled data dissemination.
Data Analyst
A Data Analyst's role involves collecting, processing, and performing statistical analysis on large datasets to uncover trends and patterns that inform business strategies. The "Master in Microsoft Power BI Desktop and Service" course is invaluable for an aspiring or current Data Analyst. It provides deep dives into Power Query for effective data cleaning and manipulation, essential for preparing data for analysis. The course also teaches you to build robust data models and leverage DAX functions to perform complex calculations and derive meaningful metrics. You will gain proficiency in creating dynamic reports and visualizations, enabling you to present your analytical findings clearly and persuasively, ultimately supporting informed business decisions across various functions.
Data Visualization Specialist
A Data Visualization Specialist transforms complex datasets into clear, compelling, and actionable visual stories that communicate insights effectively. This course directly enhances the capabilities of a Data Visualization Specialist by providing in-depth training on the extensive visualization options within Power BI. You will learn to customize reports using various charts, maps, KPIs, and slicers, and explore advanced features like conditional formatting and drill-through for building truly interactive and dynamic reports. The course's focus on report design for maximum impact, coupled with the ability to create robust data models and utilize DAX, ensures that your visualizations are not only aesthetically pleasing but also rigorously accurate and deeply insightful, effectively communicating complex information.
Business Intelligence Developer
A Business Intelligence Developer focuses on designing, developing, and maintaining scalable BI solutions and infrastructure that empower organizations with data. This course, "Master in Microsoft Power BI Desktop and Service," offers extensive training in the core components essential for a Business Intelligence Developer. You will gain expertise in sophisticated data modeling techniques, including building and managing relationships between data tables, which is fundamental to robust BI systems. Furthermore, the in-depth coverage of DAX functions allows for creating complex measures and calculated columns, crucial for developing advanced analytical capabilities. Learning to publish and manage reports with row-level security in Power BI Service directly translates to building secure, enterprise-grade BI environments.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to provide insights for investment decisions, budgeting, and performance measurement. This course provides comprehensive skills directly applicable to the daily tasks of a Financial Analyst. You will learn to connect Power BI to various data sources, including Excel and SQL Server, where much financial data resides, and transform this data using Power Query for accuracy and consistency. The ability to build detailed data models and apply DAX functions to create financial metrics and forecasts, alongside designing interactive dashboards and reports, will significantly enhance your capacity to monitor financial health and communicate performance effectively to stakeholders.
Healthcare Data Analyst
A Healthcare Data Analyst interprets vast datasets from clinical, operational, and administrative sources to improve patient care, operational efficiency, and public health outcomes. The "Master in Microsoft Power BI Desktop and Service" course provides a powerful toolkit for a Healthcare Data Analyst. You will learn to connect Power BI to various healthcare data sources, effectively transform complex and often sensitive data using Power Query, and build robust data models. Applying DAX functions to calculate specific healthcare metrics and creating detailed, interactive dashboards and reports will empower you to visualize trends in patient demographics, resource utilization, treatment effectiveness, and compliance, supporting evidence-based decision-making in healthcare settings.
Marketing Analyst
A Marketing Analyst leverages data to evaluate the effectiveness of marketing campaigns, understand customer behavior, and identify market trends to drive growth. The "Master in Microsoft Power BI Desktop and Service" course offers valuable training for a Marketing Analyst by teaching you how to integrate disparate marketing data from web pages, Excel, and other sources into Power BI. You will gain proficiency in using Power Query to clean and prepare this data, enabling accurate analysis. Furthermore, creating compelling visualizations and interactive dashboards using Power BI's diverse reporting capabilities will empower you to clearly present campaign performance, customer segmentation, and return on investment, driving more effective marketing strategies.
Operations Analyst
An Operations Analyst focuses on optimizing business processes by analyzing operational data, identifying inefficiencies, and recommending improvements. This course provides a robust toolkit for an Operations Analyst. You will learn to connect Power BI to various operational data sources, such as databases or spreadsheets, and use Power Query for thorough data transformation to ensure data quality. Building detailed data models and employing DAX functions will enable you to calculate key performance indicators, while the course's emphasis on creating diverse visualization types and interactive dashboards will allow you to effectively monitor process performance, pinpoint bottlenecks, and communicate data-driven recommendations for enhancing efficiency and productivity.
Education Data Analyst
An Education Data Analyst examines data related to student performance, enrollment trends, program effectiveness, and institutional operations to support informed decision-making in educational settings. This course provides comprehensive skills directly applicable to the work of an Education Data Analyst. You will learn to connect Power BI to diverse educational data sources, such as student information systems or assessment platforms. Mastering Power Query for data transformation and building effective data models will ensure the accuracy and reliability of your analyses. Creating interactive reports and dashboards with various visualization types will enable you to clearly communicate insights on academic achievement, student retention, and resource allocation to educators and administrators, fostering data-driven improvements.
Product Analyst
A Product Analyst uses data to understand product performance, user engagement, and identify opportunities for product improvement and innovation. This course can significantly benefit a Product Analyst by teaching the essential skills to connect Power BI to various product usage data sources. You will learn to transform and clean this data using Power Query, ensuring its readiness for analysis. Creating calculated columns and measures with DAX functions will enable you to define and track key product performance indicators. Furthermore, building interactive dashboards and reports in Power BI will empower you to visualize user journeys, feature adoption, and overall product health, providing data-driven insights to guide product development and strategy.
Data Quality Analyst
A Data Quality Analyst plays a critical role in ensuring the accuracy, consistency, completeness, and timeliness of an organization's data assets. The "Master in Microsoft Power BI Desktop and Service" course may be useful for a Data Quality Analyst, particularly through its extensive focus on Power Query for data transformation. This module teaches you to clean, modify, and reshape data from various sources, which are fundamental tasks in identifying and rectifying data quality issues. By understanding how to manipulate and prepare data effectively, this course helps build a foundation for developing processes to ensure high data integrity, thereby improving the reliability of all subsequent analyses and reports generated within Power BI and other analytical platforms.
Supply Chain Analyst
A Supply Chain Analyst works to optimize the flow of goods, services, and information, often relying on vast amounts of data related to logistics, inventory, and procurement. The "Master in Microsoft Power BI Desktop and Service" course may be useful for a Supply Chain Analyst in developing highly effective data analysis and visualization capabilities. It will enable you to connect Power BI to diverse supply chain data sources, transform complex datasets using Power Query for accuracy, and build sophisticated data models. Creating interactive dashboards and reports with various visualization types will help you monitor key supply chain metrics, identify bottlenecks, track performance across the network, and ultimately drive efficiency improvements throughout the supply chain.
Management Consultant
A Management Consultant advises organizations on strategies to improve their efficiency, solve problems, and ultimately enhance performance across various functions. This course may be useful for a Management Consultant to rapidly analyze client data and communicate findings effectively. The ability to connect Power BI to various data sources, perform quick data transformation using Power Query, and build dynamic reports and dashboards can be critical for presenting data-driven insights and recommendations to clients. Mastering visualization techniques and publishing capabilities in Power BI Service allows a consultant to quickly turn raw data into persuasive visual evidence, supporting strategic advice and demonstrating impact to stakeholders and decision-makers.
Data Engineer
A Data Engineer is responsible for designing, constructing, and maintaining robust data pipelines and infrastructures that collect, process, and store data for analytical purposes. This course may be useful for an aspiring Data Engineer as it provides a practical understanding of how transformed and modeled data is consumed by business intelligence tools. Specifically, the in-depth modules on Power Query for data transformation, including merging queries and creating hierarchical structures, directly relate to the data manipulation tasks a Data Engineer performs. Comprehending data modeling techniques and the importance of relationships between tables, as taught in this course, also helps build a foundation for designing efficient data storage solutions from the perspective of their eventual analytical consumption.

Reading list

We've selected 17 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 Master in Microsoft Power BI Desktop and Service.
Is widely considered the gold standard for learning Data Analysis Expressions (DAX) and is commonly used as a textbook by industry professionals. It provides deep technical depth that complements the course's module on DAX, moving beyond basic measures into complex evaluation contexts. It vital reference tool for anyone looking to master the analytical engine behind Power BI.
Is an excellent supplement for students taking the course for professional development or academic credit. It aligns perfectly with the syllabus by structuring content around the official PL-300 exam domains. It is helpful in providing a structured review of all course concepts from data preparation to asset deployment.
Written by two of the world's leading experts on Power Query, this book adds significant depth to the data transformation module. It teaches advanced M code techniques that allow for highly customized data cleaning. It vital resource for students who need to work with messy, real-world data sources.
Is specifically helpful for the 'Data Modeling' module of the course, providing detailed guidance on Snowflake and Star schemas. It is more valuable as a specialized deep-dive than a general overview, helping learners solve complex relationship issues. It useful reference tool for professionals designing large-scale data models.
Highly specialized reference tool that provides pre-built solutions for common analytical challenges like time intelligence and ranking. It adds technical depth to the course by showing how to apply DAX in real-world scenarios. It is best used as a manual to be consulted when building complex measures in the course projects.
Focusing heavily on the ETL process, this book provides essential background knowledge for the Power Query module of the course. It explains the M language in detail, allowing students to perform data transformations that go beyond the standard UI options. It foundational text for anyone serious about the data preparation phase of business intelligence.
Mirrors the course syllabus closely, making it an ideal companion for beginners. It provides a broad overview of the entire Power BI ecosystem, from Desktop to Service. It is helpful in providing background knowledge for those new to the field of Business Intelligence.
Focused specifically on the visualization engine, this book useful reference tool for the 'Reports and Visualization' module. It explores how the engine interprets data to create visuals, helping students understand the link between modeling and display. It foundational text written by the industry's most respected authors.
Is more valuable as a current reference than a textbook, offering specific 'recipes' for common tasks in Power BI. It covers a wide range of topics that add breadth to the course, including advanced data connectivity and custom visuals. It is frequently used by industry professionals to solve specific troubleshooting issues.
Provides a solid overview of Business Intelligence concepts, making it helpful for the introductory module of the course. It explains the ETL process and data warehousing in simple terms that are easy for beginners to digest. It useful reference for understanding the 'big picture' of data analytics.
While the course teaches the technical 'how' of creating charts, this book adds more depth to the 'why' of effective visualization. It useful reference tool for designing reports that communicate insights clearly to business stakeholders. It is highly recommended as additional reading to improve the impact of the dashboards created during the course.
This concise reference tool designed for quick lookups of DAX syntax and function descriptions. It is more valuable as a desktop companion during the course's lab exercises than as a narrative textbook. It helps students quickly find the right function for their calculated columns and measures.
Provides a deep dive into the 'Power BI Service' module, focusing on deployment and environment setup. It useful reference tool for students who want to understand how Power BI fits into a larger corporate IT infrastructure. It adds significant depth to the course regarding security, gateways, and data refresh strategies.
Authored by a member of the Microsoft Power BI team, this book carries high authority and reputation. It is particularly useful for learning about Row-Level Security and sharing, which are key components of the course's final module. It provides a more valuable look at administrative tasks than the standard course content.
As a highly technical reference tool, this book focuses on performance tuning and optimization of the data models built in the course. It is particularly useful for students who find their reports running slowly or who are working with large datasets. It adds breadth by teaching the 'behind-the-scenes' mechanics of the VertiPaq engine.
While less technical than other options, this book is helpful in providing background knowledge for non-technical learners. It covers the basics of connecting to data and creating simple reports in a very accessible way. It good supplementary resource for students who feel overwhelmed by the technical jargon in the course.

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