;%20}%20%3c/style%3e%3clinearGradient%20id='linear-gradient'%20x1='2.99'%20y1='29.35'%20x2='127.75'%20y2='101.39'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0'%20stop-color='%23f2b347'%20/%3e%3cstop%20offset='.5'%20stop-color='%23ca5a8b'%20/%3e%3cstop%20offset='1'%20stop-color='%236654f5'%20/%3e%3c/linearGradient%3e%3c/defs%3e%3cg%20id='Layer_1-2'%20data-name='Layer%201'%3e%3cpath%20class='cls-1'%20d='M83.56,0H47.18C21.12,0,0,21.12,0,47.18v36.38c0,26.06,21.12,47.18,47.18,47.18h36.38c26.06,0,47.18-21.12,47.18-47.18V47.18C130.74,21.12,109.62,0,83.56,0ZM20.62,48.64c2.84-2.84,6.59-4.23,10.32-4.17,3.82,.07,7.55-1.1,10.25-3.8l.56-.56c2.7-2.7,3.86-6.43,3.8-10.25-.07-3.73,1.32-7.47,4.17-10.32,6.18-6.18,16.66-5.48,21.88,2.11,3.18,4.62,3.27,10.96,.19,15.64-3.02,4.6-7.92,6.78-12.72,6.54-3.51-.17-6.95,.99-9.43,3.48l-1.24,1.24c-2.48,2.48-3.65,5.92-3.48,9.43,.24,4.8-1.94,9.7-6.54,12.72-4.68,3.08-11.03,2.99-15.64-.19-7.6-5.23-8.29-15.7-2.11-21.88Zm33.7,34.25c-2.7,2.7-3.86,6.43-3.8,10.25,.07,3.73-1.32,7.47-4.17,10.32-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.94-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.7,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88-2.84,2.84-6.59,4.23-10.32,4.17-3.82-.07-7.55,1.1-10.25,3.8l-.56,.56Zm55.8-2.93c-2.96,2.96-6.91,4.35-10.79,4.15-3.51-.17-6.96,.99-9.44,3.48l-1.23,1.23c-2.49,2.49-3.65,5.93-3.48,9.44,.19,3.88-1.19,7.82-4.15,10.79-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.95-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.69,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88Z'%20/%3e%3c/g%3e%3c/svg%3e)
About This Path
In this learning path, you will master the art of data analysis and modeling, focusing on techniques such as conditional formatting, switch logic, and context transition.
You will learn how to structure data models effectively, including the creation of key measures tables, handling multiple dates in fact tables, and utilizing active and inactive relationships. Real-world examples, like analyzing race data, will be used to illustrate these concepts.
Who Should Take This Path
This path is ideal for individuals who are passionate about analyzing data and creating insights. It's also suitable for professionals who want to unlock the potential of their organization's data assets and drive better business decisions using data.
What Are The Path Requirements
To get the most out of this learning path, you should have a basic understanding of data analysis and modeling. Prior experience with a tool like Power BI would be beneficial, but the course is designed to guide learners through the process step by step, making it accessible even to those new to these concepts.
Data Transformations And Modeling
Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports
Advanced Data Modeling & DAX Techniques
Discover advanced data modeling and DAX techniques to speed up DAX query execution
Data Model Development Best Practices In Power BI
We'll be reviewing a number of techniques specifically around reporting dashboards in Power BI.
Get full access to unparalleled
training & skill-building resources
FOR INDIVIDUALS
Enterprise DNA
For Individuals
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
Learn MoreFOR BUSINESS
Enterprise DNA
For Business
Training, tools, and guidance to unify and upskill the data analysts in your workplace.
Learn More