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Lenore R Flower

Prepare and model data from multiple sources with Udacity's online Data Modeling Training Course. Learn how to combine, clean, restructure, and harmonize data.

Prerequisite details

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Prepare and model data from multiple sources with Udacity's online Data Modeling Training Course. Learn how to combine, clean, restructure, and harmonize data.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Intermediate spreadsheet use

You will also need to be able to communicate fluently and professionally in written and spoken English.

What's inside

Syllabus

Meet your instructor, get an overview of the course, and learn some fundamental concepts about how Power BI is used to prepare data and generate easy-to-understand visual reports.
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Learn core concepts of data modeling in Power BI, including how to make your data model more efficient by splitting it into fact tables and dimension tables.
Learn how to gather your data using the Get Data feature and tidy it up using basic transformations, so that it is ready for more advance transformations and data modeling.
Learn different ways we can take the data we have at our fingertips and use bigger transformations to morph it into what we need for our data model and, ultimately, our reporting.
This lesson is all about relationships and filters. We'll cover relationship cardinality and direction, filter direction, implicit DAX, quick measure, and custom DAX functions that rely on filters.
Go into greater depth on reports and DAX that is specifically helpful for reporting, including how to add basic components to your report and group the data using measures and calculated columns.
Create a data model to help Seven Sages Brewing Company better understand their sales and profitability.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces fundamental Power BI concepts and techniques, building a strong foundation for beginners
Covers core data modeling concepts in Power BI, which are essential for building efficient and effective data models
Provides hands-on practice with data gathering and transformation using Power BI's Get Data feature, enabling learners to prepare data for further analysis
Delves into advanced data transformations to help learners manipulate data and prepare it for data modeling and reporting
Explores relationships and filters in Power BI, providing a comprehensive understanding of how to connect and filter data for effective analysis
Develops reporting skills using Power BI, including adding report components, grouping data, and creating measures and calculated columns

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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 Preparing and Modeling Data with Power BI with these activities:
Practice Using Different Data Transformation Functions
This activity will allow you to practice using different data transformation functions, such as filtering, sorting, and merging, which will help you become more proficient in using Power BI.
Browse courses on Data Transformation
Show steps
  • Import a dataset into Power BI.
  • Explore the different data transformation functions available in Power BI.
  • Practice using the different data transformation functions to clean and prepare your data.
  • Create a report based on your transformed data.
Follow Tutorials on Advanced Data Modeling Techniques
This activity will allow you to learn about advanced data modeling techniques, such as using DAX and creating hierarchies, which will help you build more complex and powerful data models.
Browse courses on Data Modeling
Show steps
  • Find tutorials on advanced data modeling techniques.
  • Follow the tutorials and practice using the techniques.
  • Apply the techniques to your own data models.
Build a Data Model for a Real-World Dataset
This activity will allow you to apply the skills you have learned in the course to a real-world dataset, which will help you gain experience in building data models.
Browse courses on Data Modeling
Show steps
  • Choose a real-world dataset to work with.
  • Import the dataset into Power BI.
  • Create a data model for the dataset.
  • Create a report based on your data model.
Show all three activities

Career center

Learners who complete Preparing and Modeling Data with Power BI will develop knowledge and skills that may be useful to these careers:

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 Preparing and Modeling Data with Power BI.
Provides a comprehensive overview of data modeling with Power BI, covering topics such as data sources, data transformation, and data visualization. It would be a valuable resource for learners who want to learn more about the fundamentals of data modeling.
Focuses on the practical aspects of data modeling with Power BI, providing step-by-step instructions on how to create and use data models. It would be a great choice for learners who want to get hands-on experience with Power BI.
Provides a comprehensive overview of Power BI, covering topics such as data modeling, data visualization, and data analysis. It would be a valuable resource for learners who want to learn about all aspects of Power BI.
Provides a quick and easy introduction to Power BI. It covers the basics of data modeling, data visualization, and data analysis, and would be a good choice for learners who want to get started with Power BI quickly.
Provides a comprehensive guide to optimizing the performance of Power BI data models. It covers topics such as identifying performance bottlenecks, optimizing data queries, and using performance optimization tools.
Provides a guide to using Power BI with Azure data services. It covers topics such as connecting to Azure data services from Power BI, using Azure data services to enhance Power BI reports, and deploying Power BI reports to Azure.

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