power bi course content
Power BI Curriculum Overview
power bi course content
A comprehensive Power BI course typically covers a range of topics designed to equip learners with the skills needed to analyze and visualize data effectively. The course content usually begins with an introduction to Power BI, including installation and interface navigation. It progresses to data connectivity, covering how to import data from various sources like Excel, SQL Server, and online services. Participants learn data transformation techniques using Power Query, followed by modeling data using DAX (Data Analysis Expressions) for calculations and advanced analytics. The course typically includes creating interactive reports and dashboards, utilizing visualizations, and designing user-friendly layouts. Additionally, it may cover best practices for data visualization, collaboration features for sharing insights, and Power BI Service for publishing reports online. By the end of the course, participants are expected to have a solid understanding of how to leverage Power BI for effective data storytelling and decision-making.
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1 - Introduction to Power BI: Overview of Power BI, its components, architecture, and the differences between Power BI Desktop, Power BI Service, and Power BI Mobile.
2) Installation and Setup: Guide students through installing Power BI Desktop, creating a Power BI account, and setting up their environment for effective use.
3) Data Sources and Connectivity: Understanding different data sources (Excel, SQL Server, Web APIs, etc.), how to connect to them, and import data into Power BI.
4) Data Transformation with Power Query: Introduction to Power Query Editor, basic transformation techniques, and M language, enabling students to clean and prepare data for analysis.
5) Data Modeling Concepts: Understanding data relationships, primary and foreign keys, building a star schema, and optimizing data models for performance.
6) Creating Calculated Columns and Measures: Introduction to DAX (Data Analysis Expressions), and how to create calculated columns and measures for enhanced data analytics.
7) Building Visualizations: Detailed instructions on how to use various visualization types (charts, tables, maps, etc.), principles of effective data visualization, and best practices.
8) Designing Interactive Dashboards: Techniques for creating compelling and interactive dashboards that tell a story with data, including slicers, buttons, and bookmarks.
9) Publishing Reports: Steps for publishing reports from Power BI Desktop to the Power BI Service, and understanding the options for sharing and collaborating.
10) Working with Power BI Service: Introduction to the Power BI Service, managing workspaces, datasets, and reports, and exploring the collaborative features.
11) Data Refresh and Schedule: Understanding data refresh options, setting up scheduled refreshes, and managing data source credentials for automation.
12) Using Power BI Apps: Overview of how to create and use Power BI Apps for distributing reports and dashboards to a broader audience.
13) Power BI Mobile Reports: Techniques for designing reports that are mobile friendly and exploring how reports render on mobile devices.
14) Advanced Analytics with Power BI: Introduction to advanced analytics features including predictive analytics, R and Python integration, and Q&A functionality.
15) Security and Governance: Understanding Row Level Security (RLS), Power BI governance practices, and how to manage user access and security at different levels.
16) Custom Visuals and Themes: How to implement custom visuals from the marketplace and apply themes for branding and aesthetic consistency in reports.
17) Best Practices for Power BI Development: Techniques and guidelines for creating efficient, scalable, and maintainable Power BI reports and dashboards.
18) Real World Projects and Case Studies: Hands on projects based on real world business scenarios to solidify learning and application of Power BI concepts.
19) Exam Preparation and Certification: Information on relevant Power BI certifications, tips for exam preparation, and practice tests to help students prepare.
Each of these points can be expanded further into lessons or modules depending on the duration of the training program and the level of detail desired.
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