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Microsoft

This course portrays how Copilot can be leveraged in conjunction with Power BI to streamline process and enhance work outputs. It provides a general overview as well as detailed use case demonstrations for Power BI practitioners who want to augment their skills with Generative AI.

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What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Suited for Power BI practitioners and professionals looking to enhance their skills with Generative AI
Provides hands-on guidance with detailed use case demonstrations
Beneficial for those seeking to streamline processes and improve outcomes in their Power BI work

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Reviews summary

Practical copilot integration for power bi

According to learners, this course is a highly valuable resource for Power BI users looking to integrate Generative AI with Copilot. Students emphasize its practical application, noting it provides clear, concise explanations and incredible hands-on demonstrations that enable immediate use in daily tasks, leading to significant productivity enhancement. While some newer reviews highlight updated content addressing earlier feedback, a few learners found the pacing challenging for beginners or that the depth was too basic for highly experienced users seeking advanced scenarios. Overall, it's considered an essential and timely investment for augmenting Power BI skills.
Optimal for practitioners, but depth varies for beginners/advanced.
"While the course provides a good overview, I found some parts moved a bit too quickly for a beginner. More foundational knowledge on Power BI itself might be needed."
"The course content felt a bit superficial at times. I already had some exposure to Copilot and was hoping for a deeper dive into custom configurations or more niche applications."
"It's a good starting point for someone new to Copilot, but for those already familiar, it might not offer enough new insights."
"For experienced users, it's probably great, but I struggled to keep up in some of the hands-on sections."
Course content and quality have improved over time.
"The updated content since last month really addresses earlier feedback."
"A minor point: the audio quality in some earlier sections could be improved, but it got better in later parts."
"The early version had some glitches but seems to have been refined."
"I appreciate the responsiveness to feedback and continuous efforts to keep it relevant."
Instructor simplifies complex topics for easy grasp.
"The course provides clear, concise explanations and incredible hands-on demos."
"The instructor is very knowledgeable and makes complex topics easy to grasp."
"Fantastic course! It demystified Copilot for me and showed exactly how it fits into the Power BI workflow. The step-by-step guidance was perfect."
"The instructor simplifies complex topics masterfully. The content is up-to-date and the instructor explains everything clearly."
Enhances productivity with immediate real-world use.
"I immediately saw how to apply these techniques to my daily reports. Highly recommend for productivity enhancement!"
"As a Power BI analyst, I'm always looking for ways to be more efficient. Copilot is definitely that, and this course teaches you exactly how to wield it."
"The use cases presented were practical and relevant... Still, a very valuable course for augmenting skills."
"It's concise but covers all the essential points. I especially liked the real-world scenarios."
Some wish for more complex scenarios or extended projects.
"My main suggestion would be to include more advanced scenarios or troubleshooting tips for real-world application."
"I would have liked more extensive case studies or maybe a final project to tie everything together. The exercises were a bit brief."
"I was hoping for a deeper dive into custom configurations or more niche applications."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Copilot for Power BI with these activities:
Review Data Visualization
Brush up on your data visualization skills to strengthen your foundation for this course.
Browse courses on Data Visualization
Show steps
  • Review the basics of data visualization principles.
  • Practice creating visualizations using different techniques.
Review Power BI Dashboard Fundamentals
Reinforce your foundation in Power BI dashboard fundamentals to enhance your understanding of Copilot integration.
Browse courses on Power BI
Show steps
  • Revise the concepts of data visualization and dashboard design.
  • Explore various chart types and their appropriate use cases.
  • Practice creating and customizing dashboards using Power BI Desktop.
Organize Your Copilot Resources
Enhance your learning experience by organizing and curating your Copilot-related resources, including tutorials, code snippets, and documentation.
Browse courses on Copilot
Show steps
  • Create a dedicated folder or notebook for Copilot materials.
  • Categorize resources based on their purpose or topic.
  • Include links to online resources, such as tutorials and forums.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Connect with Copilot Experts
Seek guidance and support from experienced professionals who can provide valuable insights and advice on leveraging Copilot effectively.
Browse courses on Mentorship
Show steps
  • Join online communities and forums dedicated to Power BI and Copilot.
  • Reach out to individuals who have shared their expertise or projects related to Copilot.
  • Engage with Microsoft support or community moderators for assistance.
Practice Using Copilot in Power BI
Sharpen your skills by practicing using Copilot in the context of Power BI.
Show steps
  • Create a new Power BI report.
  • Connect to a data source.
  • Use Copilot to generate code and suggestions.
Enhance Your Skills with Copilot Tutorials
Deepen your understanding of Copilot's capabilities by following comprehensive tutorials dedicated to its use with Power BI.
Browse courses on Copilot
Show steps
  • Seek out official Microsoft tutorials and documentation on Copilot.
  • Explore tutorials focused on specific use cases and scenarios.
  • Practice implementing Copilot features guided by step-by-step instructions.
Attend Copilot-Focused Events
Expand your knowledge and connect with others by attending events dedicated to Copilot, where you can learn from experts and share your experiences.
Browse courses on Networking
Show steps
  • Research upcoming conferences, webinars, or meetups focused on Copilot.
  • Register and attend these events to learn from speakers and engage with attendees.
  • Participate in discussions and ask questions to gain insights from fellow attendees.
Copilot Coding Exercises
Sharpen your Copilot coding skills through regular practice exercises designed to enhance your proficiency in using Copilot with Power BI.
Browse courses on Copilot
Show steps
  • Identify common tasks or scenarios where Copilot can be utilized.
  • Write code snippets using Copilot to automate tasks or solve specific problems.
  • Test and debug the code to ensure accuracy and functionality.
Build a Copilot-Enhanced Dashboard
Solidify your skills by creating a Power BI dashboard that leverages Copilot's capabilities to enhance its functionality and efficiency.
Browse courses on Power BI
Show steps
  • Identify a real-world business scenario that requires a dashboard.
  • Design and plan the dashboard layout, including visualizations and metrics.
  • Implement Copilot to automate tasks, such as data aggregation and visualization suggestions.
  • Optimize and refine the dashboard based on user feedback or specific performance metrics.

Career center

Learners who complete Copilot for Power BI 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 Copilot for Power BI .
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 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.
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.
Provides a comprehensive overview of Business Process Management (BPM), covering its concepts, methods, and tools. It is suitable for gaining a broad understanding of how to analyze, design, implement, and monitor business processes. Often used as a textbook in university programs, it's a valuable reference for both students and professionals.
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.
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.
Written as a business novel, this book introduces the Theory of Constraints (TOC) in an engaging and accessible way. It highlights the importance of identifying and managing bottlenecks in any process to improve overall performance. This classic 'must-read' for anyone involved in operations and process improvement, providing foundational insights into systems thinking.
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.
A foundational book on Lean principles, this text outlines how to identify and eliminate waste in any process to create value. Based on the Toyota Production System, it provides a framework for achieving operational excellence. This classic in process improvement literature, essential for understanding the origins and philosophy of Lean.
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.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
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.
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 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 comprehensive textbook covers a wide range of optimization models and algorithms relevant to operations research and process optimization. It is suitable for advanced undergraduate and graduate students, offering a deep dive into the quantitative methods used in the field. It serves as a strong reference for various optimization techniques.
While 'Writing Effective Use Cases' is his most famous work, Cockburn has other materials and potentially books that offer a more practical, hands-on approach to just the modeling aspect. This would likely provide exercises and examples focused solely on building use case models.
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.
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.
This practical guide focuses on the essential skill of process mapping for understanding and improving workflows. It provides clear steps and examples for visually documenting processes, identifying inefficiencies, and managing improvements. It's a valuable resource for anyone starting in process optimization or needing a practical reference for process documentation.
Provides a comprehensive guide to implementing Six Sigma methodology for process improvement. It covers the DMAIC cycle and the organizational aspects of driving change through Six Sigma. It's a widely recognized and practical resource for understanding and applying Six Sigma in various business contexts.
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.
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.
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.
While not solely focused on use cases, the BABOK Guide is the globally recognized standard for business analysis. It provides comprehensive coverage of requirements analysis techniques, including a significant section on use cases and scenarios. is essential for business analysts and provides a broad understanding of how use cases fit into the larger business analysis discipline.
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.
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.
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 handbook comprehensive reference for Six Sigma Black Belts, covering the entire body of knowledge required for certification. It delves into advanced statistical tools and methodologies for process improvement and variation reduction. It's an essential resource for those pursuing Six Sigma expertise and a valuable reference for practitioners.
This textbook provides a comprehensive overview of supply chain management, including the strategic importance of process optimization within supply chains. It covers planning and operational aspects, demonstrating how optimization techniques are applied in a supply chain context. It's a key resource for students and professionals in supply chain and operations management.
Offers practical guidance for successfully implementing BPM initiatives within organizations. It covers various aspects of BPM adoption, including strategy, governance, and change management. It's a useful resource for practitioners and managers involved in leading process optimization efforts.
Focuses on managing software requirements using a use case approach. It covers the process of gathering, analyzing, and managing requirements with a strong emphasis on use cases. It's a valuable resource for understanding the practical application of use cases in requirements management.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Focuses on using data analysis to identify opportunities for process improvement and measure the impact of changes. It bridges the gap between data science and process optimization, providing practical guidance for leveraging data. It's a relevant resource for contemporary approaches to process optimization that rely heavily on data.
For those looking to go deeper into use case modeling for complex software systems, this book offers advanced techniques and concepts. It builds upon foundational knowledge and explores more intricate aspects of creating comprehensive use case models.
This textbook provides a theoretical and algorithmic foundation for linear optimization, a cornerstone of process optimization. It is suitable for advanced undergraduate and graduate students in fields like operations research, computer science, and engineering. It offers a deep understanding of linear programming techniques.
A comprehensive guide to software requirements engineering, this book covers various techniques for elicitation, analysis, specification, and modeling. It includes discussions on use cases as a method for capturing functional requirements. provides a broad understanding of where use cases fit within the overall requirements process and widely used reference.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Beginner's guide to using Tableau, one of the most popular data visualization tools. It covers the basics of Tableau, as well as how to use Tableau to create a variety of charts and graphs.

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