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Stacia Misner Varga

Learn how to work with data that comes from different sources and is structured in different ways by using Power BI transformations to combine, reshape, cleanse, and enhance that data to create a model that supports reporting and analytics.

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Learn how to work with data that comes from different sources and is structured in different ways by using Power BI transformations to combine, reshape, cleanse, and enhance that data to create a model that supports reporting and analytics.

Data in its raw form is rarely useful for reporting and analysis. In this course, Modeling Data in Power BI, you'll learn how to use Power BI to transform raw data into meaningful insights. First, you'll learn how to gather data and apply transformations to easily blend multiple sources together, reduce the data to its most useful elements, and prepare the data for exploration. Next, you'll discover how to configure the model to support Power BI features for insightful visualizations, geospatial analysis, and natural language queries. Finally, you'll explore the basics of DAX, Power BI's expression language, to add calculations to your model. When you're finished with this course, you'll have the skills and knowledge of Power BI data modeling that you can use to build your own models that support a variety of analytical requirements and take full advantage of Power BI's capabilities.

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What's inside

Syllabus

Course Overview
Loading Data
Exploring Additional Techniques in the Power Query Editor
Enhancing a Power BI Model with Relationships and Hierarchies
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Improving the Data Model for Reporting
Using DAX to Enhance a Power BI Model
Working with Dates and Time in Power BI
Applying Evaluation Context

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines data blending to reduce data to its most useful elements
Develops relationships and hierarchies to support insightful visualizations
Improves data modeling for reporting
Uses DAX to enhance data models
Explores the use of dates and time in Power BI
Applies evaluation context to enhance model accuracy

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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 Modeling Data in Power BI with these activities:
Identify an experienced Power BI professional to mentor you
Connecting with an experienced Power BI professional as a mentor will provide you with personalized guidance and support throughout your learning journey.
Browse courses on Mentorship
Show steps
  • Research potential mentors in your network or through online platforms like LinkedIn.
  • Reach out to your chosen mentor and request their guidance.
Join a study group or online forum for Power BI users
Engaging with a study group or online forum will allow you to share knowledge, ask questions, and learn from others in the Power BI community.
Browse courses on Community Engagement
Show steps
  • Search for Power BI study groups or forums online.
  • Join the group and actively participate in discussions.
Review relational database normalization
Upgrading knowledge of relational database normalization will help you to better understand data integration and modeling in Power BI.
Show steps
  • Read the article 'Database Normalization: A Beginner's Guide' on the TutorialsPoint website.
  • Review the normalization rules and examples.
Five other activities
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Show all eight activities
Follow a tutorial on Power Query data transformations
Reinforcing data transformation techniques in Power Query will enhance your ability to prepare and shape data effectively in Power BI.
Browse courses on Data Transformation
Show steps
  • Visit the Microsoft Learn website and search for 'Power Query Tutorial'.
  • Complete the interactive tutorial, practicing the data transformation steps.
Practice creating relationships between tables in Power BI
Regular practice in creating relationships between tables will improve your understanding of data modeling and enhance the accuracy of your analysis in Power BI.
Browse courses on Data Modeling
Show steps
  • Download the 'AdventureWorks' sample dataset from Microsoft.
  • Import the dataset into Power BI and practice creating relationships between the tables.
Create a step-by-step guide to using DAX to enhance a Power BI model
Creating a guide on using DAX to enhance a Power BI model will solidify your understanding of DAX calculations and their application in data analysis.
Browse courses on DAX
Show steps
  • Review the Microsoft documentation on DAX.
  • Identify a business scenario where DAX calculations can enhance a Power BI model.
  • Create a sample Power BI model and apply DAX calculations.
Attend a workshop on advanced Power BI data modeling techniques
Attending a workshop on advanced Power BI data modeling techniques will expose you to best practices and innovative approaches to enhance your modeling skills.
Browse courses on Data Modeling
Show steps
  • Research upcoming Power BI workshops or webinars.
  • Register for and attend the workshop.
Contribute to an open-source project related to Power BI
Contributing to an open-source project related to Power BI will enhance your understanding of the underlying technology and connect you with a global community of developers.
Browse courses on Open Source
Show steps
  • Identify open-source projects related to Power BI on platforms like GitHub.
  • Review the project documentation and codebase.
  • Identify an area where you can contribute and submit a pull request.

Career center

Learners who complete Modeling Data in Power BI will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses understand their performance and make better decisions. This course is highly relevant as it teaches the skills needed to model data in Power BI, a leading business intelligence tool. By learning how to gather, transform, and configure data models in Power BI, Business Intelligence Analysts can create models that support insightful visualizations, geospatial analysis, and natural language queries.
Data Analyst
A Data Analyst collects, transforms, and analyzes data to help businesses make informed decisions. This course is directly relevant as it teaches the skills needed to transform and enhance data in Power BI, a popular business intelligence tool. By learning how to combine, reshape, cleanse, and enhance data in Power BI, Data Analysts can optimize their analysis and derive meaningful insights from data.
Data Visualization Engineer
Data Visualization Engineers design and develop data visualizations that communicate insights from data. This course is directly relevant as it teaches the skills needed to enhance data models in Power BI for insightful visualizations. By learning how to configure the model to support Power BI features for insightful visualizations, Data Visualization Engineers can create visualizations that are more effective and engaging.
Data Engineer
Data Engineers design, build, and maintain data pipelines and systems. This course may be useful as it teaches the basics of data transformation in Power BI. Data Engineers can use these skills to improve the efficiency and accuracy of their data pipelines and systems.
Data Scientist
Data Scientists use data to solve business problems and create value for organizations. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Data Scientists can use these skills to enhance their data analysis and modeling capabilities.
Business Analyst
Business Analysts use data to identify and solve business problems. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Business Analysts can use these skills to enhance their data analysis and problem-solving capabilities.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Database Administrators can use these skills to improve the efficiency and performance of their databases.
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Financial Analysts can use these skills to enhance their data analysis and modeling capabilities.
Risk Analyst
Risk Analysts use data to identify and assess risks. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Risk Analysts can use these skills to enhance their data analysis and risk assessment capabilities.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Software Engineers can use these skills to enhance the data analysis and modeling capabilities of their software applications.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Machine Learning Engineers can use these skills to enhance their data analysis and machine learning modeling capabilities.
Operations Research Analyst
Operations Research Analysts use data to solve complex problems and improve business operations. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Operations Research Analysts can use these skills to enhance their data analysis and problem-solving capabilities.
Statistician
Statisticians use data to collect, analyze, interpret, and present data. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Statisticians can use these skills to enhance their data analysis and statistical modeling capabilities.
Data Architect
Data Architects design and build the architecture for data systems. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Data Architects can use these skills to enhance the design and architecture of their data systems.
Management Consultant
Management Consultants use data to help businesses improve their performance. This course may be useful as it teaches the basics of data transformation and modeling in Power BI. Management Consultants can use these skills to enhance their data analysis and consulting capabilities.

Reading list

We've selected six 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 Modeling Data in Power BI.
Provides a comprehensive overview of data modeling techniques in Power BI, including data preparation, transformation, and modeling. It valuable resource for those looking to develop their skills in data modeling and data analytics.
Provides the official documentation for Power BI, covering all aspects of the software, from data modeling to data visualization to report creation. It comprehensive resource for those looking to learn more about Power BI.
Provides a comprehensive guide to DAX, the expression language used in Power BI. It valuable resource for those looking to develop their DAX skills and gain a deep understanding of the language.
Provides a collection of DAX recipes for solving common data modeling and analysis problems in Power BI. It valuable resource for those looking to develop their DAX skills.
Provides a step-by-step guide to Power BI, covering data modeling, data analysis, and visualization. It practical guide for those looking to learn Power BI quickly and easily.
Provides a beginner-friendly introduction to Power BI, covering the basics of data modeling, data visualization, and report creation. It valuable resource for those new to Power BI.

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