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Power BI

Analyzing Data with Excel

Module 1: Introduction to Power BI
Overview of Business Intelligence (BI) and Power BI. Understanding the components of Power BI: Power BI Desktop, Power BI Service, and Power BI Mobile. Power BI licensing and subscription options.
Module 2: Getting Started with Power BI
Installing and setting up Power BI Desktop. Overview of the Power BI interface and basic navigation. Connecting to data sources (Excel, databases, web, etc.).
Module 3: Data Preparation and Transformation
Using Power Query for data cleaning and transformation. Merging and appending queries. Creating calculated columns and measures using DAX (Data Analysis Expressions).
Module 4: Building a Data Model
Designing a data model with relationships. Managing data hierarchies and tables. Implementing best practices for data modeling.
Module 5: Creating Visualizations
Overview of different types of visualizations: bar charts, line charts, pie charts, scatter plots, etc. Customizing visualizations with formatting options. Using slicers and filters to enhance interactivity.
Module 6: Building Reports and Dashboards
Designing reports with multiple pages and visualizations. Creating interactive dashboards with tiles and widgets. Using themes and templates for consistent report design.
Module 7: Advanced Data Analysis with DAX
Writing complex DAX formulas for advanced calculations. Using DAX for time intelligence (year-to-date, month-over-month, etc.). Optimizing DAX queries for performance.
Module 8: Power BI Service
Publishing reports to Power BI Service. Configuring workspaces and datasets. Sharing reports and dashboards with stakeholders.
Module 9: Power BI Mobile
Setting up Power BI Mobile app. Viewing and interacting with dashboards on mobile devices. Creating mobile-optimized reports.
Module 10: Data Refresh and Scheduling
Configuring data refresh settings. Using on-premises data gateways for hybrid data sources. Scheduling automatic data refresh in Power BI Service.
Module 11: Collaborating and Sharing
Sharing reports and dashboards with colleagues. Using Power BI apps for organizational distribution. Implementing row-level security (RLS) for data access control.
Module 12: Power BI Administration
Managing Power BI users and permissions. Monitoring usage and performance with Power BI Admin Portal. Ensuring data governance and compliance.
Module 13: Advanced Features and Customization
Using Power BI Embedded for integrating reports into applications. Creating custom visuals with Power BI Developer tools. Exploring AI capabilities in Power BI (Q&A, insights, etc.).
Module 14: Best Practices and Tips
Best practices for designing efficient and effective reports. Performance optimization techniques for large datasets. Troubleshooting common issues in Power BI.

This summary covers the essential topics and skills taught in the “Power BI” course, focusing on data visualization, modeling, and sharing insights using Power BI tools.

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