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.
WW
I am Waleed Abdullah (CA Finalist) I found this course very helpful as a financial analyst.
YA
Gave me good understanding of data modelling and how can information can flow across multiple system, providing data consistency and quality
VF
The step-by-step videos and explanation of DAX measures was explained clearly without using much jargon, which facilitated learning the concepts and formulas.
Showing: 10 of 10
this course is irrlevant for Power BI,best apps for these analysis are Sage,Quickbook,Xero and other accounting apps with loads other automated features and invoices and payments.
The DAX formulas were too ridiculously complicated. Why would anyone spend hours on Power BI when most of this could be done in Excel in a few minutes? When we have created something, we want to be able to troubleshoot it easily or allow other users to review it, just in case there were errors. I gave up after Module 5. I would not recommend the practice in this course in the real world.
The Power BI Essentials for Finance Analysts course by CFI is outstanding. The instructor demonstrates exceptional clarity and quality in their explanations, making even complex concepts easy to understand. The lecture content is very well structured, with an excellent balance between theory and practice and an adequate level of detail throughout. The rhythm of the course is exceptional—engaging, efficient, and never overwhelming. The practical cases are particularly strong and highly relevant, allowing you to immediately apply what you learn to real-world finance scenarios. I have completed other certifications that include SQL, such as the Google Data Analytics certificate, and I can confidently say this is the best SQL fundamentals course I have taken by a clear margin. The difference lies in how clearly the concepts are taught and how effectively they are applied in practical examples. Highly recommended for anyone looking to learnr Power BI and SQL skills for sales or finance.
The step-by-step videos and explanation of DAX measures was explained clearly without using much jargon, which facilitated learning the concepts and formulas.
Gave me good understanding of data modelling and how can information can flow across multiple system, providing data consistency and quality
I am Waleed Abdullah (CA Finalist) I found this course very helpful as a financial analyst.
Extra-Ordinary Course Content!
Great course!
Good to learn about PowerQuery, PowerBI, SQL etc but the app usage and tutorial is not universal (not all relevant as the app version changes; and I also have to download other app as the Microsoft SQL app is discontinued). The example given is also very very heavily dependent on the example dataset used so it requires less critical thinking and more on "since the demonstrator knows the nature of the dataset". Would be better if it's more practical: eg. for financial company or services company where we don't track/maintain inventory or stock, how relevant is these to us then. The above would mean that all the brainstorming we did during the course wouldn't be able to convert to beneficial learning curve for our work purpose. (depending on which industry you are working at). Good basic and introductory course overall thou. I would give it a 2.8/5.0 personally.
Unfortunately, one of the modules is impossible to complete in practice. The Excel files provided are corrupted or contain broken Data Models, which prevent any access to Power Pivot, Power Query, or PivotTables. Attempting to open the Data Model immediately triggers MDX errors and “Data Model is damaged” messages. As a result: - Practical exercises relying on the Data Model cannot be executed. - There is no way to work around the issue within Excel. - The lack of support or any method to obtain a working file makes completing the course tasks technically unfeasible. Additionally, the speaker uses the outdated version of PowerBi, so be ready to google solutions rather than take the course directly.