Data Visualization in Power BI

An introduction to the author and the Power BI course.

In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI

Explore Power BI's core functions: interface, data ingestion, building reports, and the distinction between reports and dashboards for effective data analysis.

Learn Power BI dashboard design basics: choose effective visuals, create clear layouts, apply accessibility, and guide users with interactivity for impactful, user-friendly reports.

Learn how to import, prepare data, and create your first interactive report in Power BI using visuals like line and donut charts for effective project tracking.

Learn to identify and fix Power BI report design issues by applying best practices in layout, visuals, color, and user-focused enhancements for clear, actionable dashboards.

A review of the concepts learned to this point in the course.

An introduction to Power Query and DAX in Power BI.

Learn Power BI Power Query basics: connect, load, clean, and transform data for analysis using practical tools and steps to prepare well-structured datasets.

Discover DAX basics in Power BI—write measures and columns, use core functions, and unlock dynamic analytics for interactive, insightful reports.

Explore DAX in Power BI to prep, model, and visualize data; grasp calculated columns, measures, DAX context, and create dynamic maps and gauges for actionable insights.

Discover Power BI data modeling essentials: star schema, relationships, data cleaning, best practices, and troubleshooting for scalable, insightful reports.

A review of data preparation in Power BI: connect to data, transform with Power Query, build effective models, and use DAX for analysis.

Discover the core chart types in Power BI, how to choose the right visual, and group data for effective, clear, and actionable reports.

Learn to use bar and column charts in Power BI to compare categories, visualize demographic and segmented data, and enhance insights with colors and interactive cross-filtering.

Learn how to use trend charts in Power BI to visualize time-based data, track trends, compare series, and choose the right chart type for clear analysis.

Learn how distribution charts like scatterplots and histograms reveal data patterns, relationships, and variability, and how to create and use them in Power BI for analysis.

Learn to build and compare composition charts like doughnut and column charts in Power BI to visualize how individual categories contribute to a whole and interpret data breakdowns effectively.

Discover how relationship charts like scatter and bubble plots in Power BI help visualize and analyze correlations and patterns between multiple numerical variables.

Learn to build effective Power BI dashboards by creating and customizing charts, applying design best practices, and avoiding common visualization mistakes using real-world requirements.

Discover Power BI's built-in AI features—like Key Influencers and Decomposition Tree—that help users easily gain insights and analyze data using advanced, accessible tools.

Review key Power BI chart types and design best practices to create clear, impactful visuals that help users quickly interpret and communicate data insights.

Discover how to make Power BI dashboards interactive using slicers, filters, and drill features, enabling users to explore, analyze, and gain actionable insights from data.

Discover how to use filters and slicers in Power BI to focus, explore, and interact with data, making reports more dynamic, user-friendly, and insightful.

Learn to use hierarchies and drill-down features in Power BI for data exploration, efficient navigation, and creating interactive, user-friendly dashboards and reports.

Gain a few final tips to create useful reports and dashboards in Power BI using best practices.