Is Modeling Data in Power BI beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Modeling Data in Power BI?

The total duration of the course is approximately 4 hour 57 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Data Science

Modeling Data in Power BI

Name: Modeling Data in Power BI
Availability: InStock
Rating: 4 (249 reviews)

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.

Beginner FriendlySelf-Paced Learning

Reviews ( 249 )

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🧠 Recommended for beginners

⚠ Not ideal for advanced users

Learning Journey Context

This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Career Relevance

Relevant for professionals pursuing roles within Data Science.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

4 hour 57 minutes

pluralsight

Beginner

Self-Paced Online

Core Courses

pluralsight

Afrikaans

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What You’ll Learn

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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