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Sebastian Taylor

Welcome to the most comprehensive Financial Statements in Power BI walkthrough ever. In this case study, you’ll practice your BI skills by taking on the role of a Business Intelligence Developer. You will be helping a retail company automate and visualize their most important financial statements.

Creating Financial Statements in Power BI poses three significant challenges which we will help you solve, using a combination of BI tools.

Challenge 1: How to replicate financial statement layouts and formatting

Challenge 2: How to create account subtotals and other DAX summaries

Read more

Welcome to the most comprehensive Financial Statements in Power BI walkthrough ever. In this case study, you’ll practice your BI skills by taking on the role of a Business Intelligence Developer. You will be helping a retail company automate and visualize their most important financial statements.

Creating Financial Statements in Power BI poses three significant challenges which we will help you solve, using a combination of BI tools.

Challenge 1: How to replicate financial statement layouts and formatting

Challenge 2: How to create account subtotals and other DAX summaries

Challenge 3: How to create the more complex cash flow statement

By the end of the course, you should be able to:

Create a SQL View containing data from multiple tables

Import the SQL View into Power BI and create a snowflake schema Data Model

Enhance the Data Model with a custom Headers Table to provide the template for building Financial Statements

Create staging DAX measures to populate the line items of the Financial Statement templates

Create a DAX measure that combines the staging DAX measures to populate the body of the Financial Statements

Create three Financial Statements in Excel using Cube Formulas that reference the Data Model

This case study is perfect for anyone who would like to apply their Power BI and DAX skills in a real world scenario. There is no better way to kick-start a career in data analysis, quantitative analysis, business intelligence, or other areas of finance with applied, practical knowledge of Power BI and related BI tools.

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What's inside

Syllabus

Case Study Introduction
Extract Data from the Database
Create the Data Model in Power Query
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Traffic lights

Read about what's good
what should give you pause
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Develops skills in financial statement automation and visualization, both core to the field of business intelligence and business analytics fields
Taught by Sebastian Taylor, a recognized authority in the field of BI, machine learning, and statistics
Develops fluency in BI tools essential for data analysis, quantitative analysis, business intelligence, and finance
Guides learners through a series of challenges, facilitating a hands-on, real-world learning experience
Teaches advanced DAX and SQL skills for building complex financial statements in Power BI
Prerequisites may be required, which could pose an accessibility barrier for some learners

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Reviews summary

Practical financial reporting in power bi

According to learners, this course is a highly practical case study focusing on automating financial statements in Power BI. Students can expect to tackle significant challenges like replicating complex financial layouts and creating advanced DAX summaries for various statements, including the often-difficult cash flow statement. The curriculum integrates SQL, Power BI, and Excel Cube Formulas, providing a comprehensive toolkit. It's ideal for those seeking real-world application of BI and DAX skills, aiming to kick-start or advance a career in data analysis, business intelligence, or finance. The hands-on approach helps solidify understanding of data modeling and measure creation.
Builds skills for data analysis and finance careers.
"This course is perfect for anyone wanting to apply Power BI and DAX skills in a real-world finance context."
"It definitely helped kick-start my understanding of applied data analysis in business intelligence."
"I feel much more prepared for roles in quantitative analysis or other areas of finance."
Covers SQL, Power BI, DAX, and Excel.
"I appreciated learning how to combine SQL for data extraction with Power BI for modeling and DAX for calculations."
"The integration of Excel Cube Formulas with Power BI was a unique and useful skill gained from this course."
"This course taught me a robust workflow using multiple BI tools, which is highly valuable in the industry."
Applies BI skills in a real-world scenario.
"I found the course's case study approach incredibly effective for applying my BI skills to a practical business problem."
"Taking on the role of a Business Intelligence Developer in this course provided tangible experience."
"The real-world scenario of automating financial statements made the learning highly relevant for my career."
Solves common financial reporting issues.
"The course directly addressed my struggles with replicating complex financial statement layouts in Power BI."
"I found the techniques for creating DAX summaries and account subtotals particularly helpful and well-explained."
"Finally understood how to build a challenging cash flow statement, thanks to the detailed walkthroughs."
Best suited for those with some BI/DAX background.
"The course states it's for those who want to 'apply their Power BI and DAX skills,' so beginners might find it moves fast."
"While comprehensive, I assume some prior familiarity with BI concepts would make the learning smoother."
"If you're new to Power BI or DAX, you might need to supplement with foundational learning before tackling this."

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 Financial Statements in Power BI with these activities:
Review Power BI Basics
Brushing up on the fundamentals of Power BI will help you follow along with the course more easily and understand the concepts better.
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Show steps
  • Review online tutorials or documentation on Power BI basics
  • Complete a few hands-on exercises to practice creating basic visualizations
Review a Book on Financial Statement Analysis
Reading a book on financial statement analysis will provide you with a deeper understanding of the concepts covered in the course.
Show steps
  • Purchase or borrow a copy of the book
  • Read the book and take notes
  • Complete the exercises at the end of each chapter
Follow Along with Power BI Tutorial Videos
Watching video tutorials will give you a visual demonstration of the concepts covered in the course and help you apply them to financial statement analysis.
Browse courses on Power BI
Show steps
  • Search for Power BI tutorials on YouTube or other online platforms
  • Choose a tutorial that covers the topic you are interested in
  • Follow the steps in the tutorial and try to replicate the results
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Creating Financial Statements in Power BI
Hands-on practice is essential for mastering Power BI and financial statement analysis. The more you practice, the more confident you will become.
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Show steps
  • Create a new Power BI file
  • Import the data you want to analyze
  • Create a DAX measure for each financial statement line item
  • Create a visualization for each financial statement
Build a Power BI Dashboard for Financial Statement Analysis
Creating a dashboard will allow you to showcase your skills and demonstrate your understanding of financial statement analysis and Power BI.
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Show steps
  • Design the layout of your dashboard
  • Add the visualizations you created in the previous activity
  • Create filters and slicers to allow users to interact with the dashboard
  • Publish your dashboard to Power BI Service
Mentor a Junior Power BI User
Mentoring others is a great way to reinforce your own learning and help others succeed. It will also allow you to stay up-to-date on the latest trends and techniques in Power BI.
Browse courses on Power BI
Show steps
  • Identify a junior Power BI user who would benefit from your help
  • Meet with them regularly to answer their questions and provide guidance
  • Provide them with resources and materials to help them learn
Compile a List of Power BI Resources
Having a list of resources at your disposal will make it easier for you to continue learning about Power BI and financial statement analysis after the course ends.
Browse courses on Power BI
Show steps
  • Search online for Power BI resources
  • Create a list of useful websites, blogs, and forums
  • Share your list with other students

Career center

Learners who complete Financial Statements in 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 Financial Statements in Power BI.
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.
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.
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.
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.
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.
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.
Considered a rigorous and comprehensive textbook, this book provides a deep dive into financial statement analysis within the context of security valuation. It's often used in graduate-level programs and is excellent for serious students and professionals.
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.
Essential for anyone looking to deepen their understanding of SQL performance and optimization. explains how databases execute queries and provides insights into writing efficient SQL code. It's highly recommended for developers and database administrators aiming to improve application performance.
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.
Delves into the ways companies can manipulate financial statements to deceive investors. It's crucial for anyone involved in analyzing financial reports and provides valuable insights into identifying potential fraud and accounting irregularities.
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.
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.
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.
An advanced guide to DAX, focusing on performance optimization and best practices for data modeling, calculation, and visualization, suitable for experienced users and professionals.
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.
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.
Dives into common mistakes and suboptimal solutions in database design and SQL coding, explaining how to identify and correct them. It's crucial for deepening understanding and writing more robust and maintainable SQL. It's a valuable resource for developers and database professionals seeking to improve their practices.
Provides insights into how Warren Buffett analyzes financial statements to identify companies with a competitive advantage. It's a valuable resource for investors and anyone interested in applying financial statement analysis to investment decisions.
Focuses on using SQL specifically for data analysis, covering techniques beyond basic querying to transform and gain insights from data. It's suitable for those who have a foundational understanding of SQL and want to apply it in a data analysis context. It's relevant for data scientists and analysts.
Focusing on the investigation of financial fraud, this book provides a deeper understanding of how financial statements can be manipulated and the techniques used to uncover fraudulent activities. It's relevant for those interested in forensic accounting and advanced financial statement analysis.
While focused on MySQL, this book provides in-depth coverage of database and SQL performance tuning that is applicable to other systems. It's essential for those working with large datasets and high-traffic applications. It's a comprehensive guide for optimizing SQL queries and database infrastructure.
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.
Given the global nature of business, understanding international financial reporting standards (IFRS) is crucial. provides a comprehensive guide to analyzing financial statements prepared under IFRS, making it highly relevant for those dealing with international companies.
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.
A classic work by the father of value investing. provides a foundational approach to interpreting financial statements for investment purposes. While older, its principles remain highly relevant for understanding the meaning behind the numbers.
While focused on T-SQL (for Microsoft SQL Server), this book provides a deep and rigorous understanding of SQL fundamentals that are applicable to many dialects. It's highly regarded for its clear explanations and challenging examples, making it excellent for solidifying core concepts. It's often used by professionals working with SQL Server.
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.
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.
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.
Tailored for aspiring data scientists, this book focuses on the SQL skills needed for data analysis, including dataset construction and manipulation. It bridges the gap between basic SQL and its application in data science workflows. Relevant for those entering or working in the data science field.
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.
Offers an approachable and practical introduction to SQL, particularly for those interested in data analysis and storytelling. It uses PostgreSQL for examples but the concepts are widely applicable. It's great for beginners and those who want to apply SQL skills to real-world data tasks.
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.
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.
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.
Addresses the increasing importance of data analytics in accounting and finance. It helps students develop the skills to analyze financial data using various tools and techniques, reflecting a contemporary trend in the field.
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.
While focusing on data science, this book is highly relevant to Business Intelligence as it explains how to use data mining and analytical thinking to solve business problems. It provides a solid foundation in the principles and concepts behind extracting value from data, which core component of BI.
Provides a hands-on approach to learning and practicing SQL through a variety of problems. It's an excellent supplement to theoretical learning and helps solidify understanding through practical application. Suitable for all levels looking to improve their problem-solving skills with SQL.
Predictive analytics is an advanced area within Business Intelligence. explores how predictive analytics works and its applications in various business scenarios. It's suitable for those looking to deepen their understanding of advanced BI techniques.
Focuses on using financial statements for forecasting and modeling, providing a practical framework and techniques for long-term projections. It's valuable for those involved in financial planning and analysis.
While not solely focused on financial statements, this book comprehensive guide to building financial models, which heavily rely on financial statement data. It's a key resource for those looking to apply their understanding of financial statements in a practical modeling context.
Offers practical tips and techniques for writing more effective and efficient SQL code. It's a great resource for improving coding style and avoiding common pitfalls. Suitable for those with some SQL experience looking to refine their skills.
Effective data visualization crucial aspect of Business Intelligence. focuses on the principles of designing insightful and effective dashboards for communicating data clearly and accurately. It's a valuable resource for anyone involved in presenting BI findings.

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