Power BI Topics to Learn
Essential Power BI Learning Topics
Power BI Topics to Learn
When learning Power BI, it's essential to cover several key topics to build a strong foundation in data visualization and analysis. Start with understanding the Power BI interface and its components, such as Power BI Desktop, Power BI Service, and Power BI Mobile. Learn data modeling techniques, including relationships, measures, and calculated columns, to effectively organize and analyze data. Familiarize yourself with Power Query for data transformation and preparation, enabling you to clean and shape your data before visualization. Master DAX (Data Analysis Expressions) for performing advanced calculations and aggregations on your data. Explore best practices for creating compelling visual reports and dashboards, focusing on effective storytelling through data visualization. Finally, delve into sharing and collaboration features within Power BI Service, understanding how to publish reports, manage datasets, and collaborate with team members. By covering these topics, you'll develop a comprehensive skill set to effectively utilize Power BI for data-driven decision-making.
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1 - Introduction to Power BI
Overview of Power BI as a business analytics tool. Explore its key components: Power BI Desktop, Power BI Service, and Power BI Mobile.
2) Data Sources and Connectivity
Learn how to connect Power BI to various data sources including Excel, SQL databases, web sources, and cloud services. Understand direct queries and importing data.
3) Data Transformation with Power Query
Use Power Query to clean, transform, and prepare data for analysis. Learn techniques such as filtering, merging, and shaping data.
4) Data Modeling
Understand how to create a data model in Power BI. Learn about relationships, primary and foreign keys, and how to design a star schema.
5) Creating Visualizations
Explore the different types of visualizations available in Power BI, including charts, tables, maps, and custom visuals. Learn best practices for choosing the right visual.
6) DAX Basics
Introduction to Data Analysis Expressions (DAX), the formula language used in Power BI to create calculated columns and measures. Learn core functions and syntax.
7) Advanced DAX
Dive deeper into DAX with advanced functions and techniques, including context, filtering, time intelligence functions, and optimizing DAX performance.
8) Building Dashboards
Learn how to create and publish interactive dashboards in the Power BI service. Understand how to use slicers and filters to enhance user interaction.
9) Power BI Service Features
Explore the capabilities of Power BI Service, including workspaces, collaboration features, sharing reports, and data refresh schedules.
10) Row Level Security (RLS)
Understand how to implement Row Level Security to restrict data access for different users. Learn how to configure RLS in Power BI.
11) Power BI Mobile
Discover how to design reports that are mobile friendly and how to use the Power BI mobile app for access on the go. Understand mobile layout considerations.
12) Using AI Capabilities in Power BI
An overview of the artificial intelligence features in Power BI, including AI visuals, natural language query, and machine learning integration.
13) Publishing and Sharing Reports
Learn how to publish reports to the Power BI service, share them with stakeholders, and manage user permissions effectively.
14) Performance Optimization
Explore best practices for optimizing Power BI reports and models for better performance, including efficient data modeling and managing data volumes.
15) Integration with Other Microsoft Tools
Learn how Power BI integrates with other Microsoft products such as Excel, Teams, and Azure. Discover how to automate workflows and reporting tasks through other services.
Each of these topics provides a foundational understanding of Power BI and prepares students for practical applications in business intelligence and data analysis.
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