Power BI Essentials: Microsoft Power BI Complete FAST-TRACK

Learn to use Power BI for data modeling, analytics, and visualization by setting up and tuning data, navigating the interface, creating multi-page reports with interactive visuals and dataset connections.

Power BI is a data visualization tool that turns raw data into reports and dashboards for data-driven decisions, aggregating data from the dataverse and highlighting insights with color and labels.

Explore Power BI reports as multi-page documents that visualize data with tiles like pie and bar charts, enabling filtering, pattern spotting, and in-depth business insights from Dataverse data.

Learn how dashboards provide a high-level view by aggregating important visualizations from multiple reports into one location, while understanding reports as multi-page detail pages.

Explore the differences between Power BI desktop and Power BI service, detailing machine-based data sources and offline work versus cloud-based access, collaboration, data flows, and cross-platform sharing.

Learn how to access Microsoft Power BI and the Power Platform, start a free trial, and explore Power BI, Power Apps, Power Automate, Power Pages, and Copilot Studio.

Access a growing library of templates, blueprints, guides, and downloadable data sets to practice Power BI concepts, with a free trial link and ongoing updates for a comprehensive learning journey.

Share your feedback to reflect on your current progress and help optimize your learning experience by consuming the lessons effectively according to the course structure.

Explore Power BI basics for data modeling and data analytics by navigating the home page, creating reports, connecting data sources, and organizing workspaces, visuals, and dashboards.

Navigate to the create menu to add data from Excel, CSV, or paste data and learn how to link or upload data sources, including OneDrive connections.

Learn how to set up a Power BI dataset by uploading data, cleaning it, and preparing fields like total sales and critic score for report generation.

Explore the auto create feature in Power BI to build your first report by connecting data, selecting fields, and generating tiles and pages while learning interface navigation and visuals.

Learn to build Power BI reports and dashboards by selecting and configuring visuals, preparing data sources, and using a stacked bar chart to analyze sales across game titles.

Explore building and personalizing stacked column charts in Power BI, using axes, legends, tooltips, and filters to drill into sales by console, publisher, developer, genre, and critique score.

Explore how to build and compare clustered bar charts in Power BI, selecting visuals by data type, configuring x and y axes, legends, and currency formatting for insightful data analytics.

Develop skills to create line charts with x axis like release date, show total sales on the y axis, and drill down from year to day for trend analysis.

Discover how Power BI blends line and bar visuals using a line stacked column chart to reveal trends with a time-based x axis and total sales on the y axis.

Switch from line and stacked column charts to a clustered column chart in Power BI with a click, and add total sales, game title, publisher, and genre for deeper analysis.

Explore the Power BI funnel visual to analyze data by category and segments, compare developers, critique scores, sales, and use sum, maximum, average, and median with zoom and spotlight mode.

Master the Power BI pie chart to visualize total sales by game title with legends and categories, and add publisher, genre, developer, and console details to refine percentages and filters.

Master the Power BI gauge visual by setting minimum, maximum, and target values, and tailor data with averages instead of sums.

Explore how to use Power BI cards to highlight key numbers, customize formatting, and create multiple cards to represent sales, counts, and critique scores, with attention to data accuracy.

Learn to build Power BI visuals with tables and matrices that display the sum of total sales per publisher and game title, with sort options and customizable headers.

Explore how data visualization reveals influence between data sets using the key influencers visual, analyze total sales by release date, and expand insights by iterating fields.

Create and tailor KPI narratives in Power BI by adding a narrative text box, adjusting text and formatting, linking resources, and using Copilot AI to augment analysis.

Explore how to use the decomposition tree in Power BI to dissect total sales by console, game title, developer, and critique score, moving from macro to micro data views.

Enhance Power BI reports with a Q&A segment powered by AI copilot, enabling non-technical users to ask questions, receive instant data insights, and explore data visualizations.

Explore applying and syncing filters across Power BI visuals, pages, and all pages, using basic and advanced options to refine line and pie charts.

Learn how Power BI slicers provide direct, on‑report filtering by layering publisher, game title, developer, genre, and sales to enable quick, interactive insights.

Create your first Power BI report in edit mode, using visuals from game sales data and drill-through to analyze sales and critique scores by game, publisher, and region.

Build and customize Power BI reports step by step, experimenting with visuals, kpis, paginated reports, and print ready layouts while exploring sales, critique scores, and game data.

Enhance Power BI reports by adding buttons, shapes, and hover effects to navigate to Q&A, external links, or web pages, enabling drill-through and page navigation with customizable icons and borders.

Export and publish your Power BI report across formats. Save, print, and export to PDF, PowerPoint, or web, and embed or share on desktop, mobile, and websites.

Discover how to build dashboards that compile key visuals from multiple reports and pages into one view, enabling faster data analysis across sales department, administration department, and accounting department.

Learn to create a Power BI dashboard by entering edit mode, pinning selected tiles to a new dashboard, and navigating between reports and dashboards while customizing the layout.

Customize your Power BI dashboard theme by uploading a JSON or selecting a pre-built option (light, dark, color friendly, custom) and adjust the background, tile colors, and opacity before saving.

Explore the Power BI dashboards interface: save copies, manage permissions, share, comment, and subscribe for team collaboration. Add and arrange tiles, customize themes, and embed web content or media.

Pin visuals from multiple reports to a Power BI dashboard to create a macro view of key KPIs and charts, with interactive navigation back to the source reports.

Explore Power BI dashboards and data relations by inspecting related content and workspace lineage, then modify data, schedule refreshes, and analyze reports via Excel, with security and permissions in mind.

Export and share your Power BI dashboard through print, PDF exports, or collaboration features like commenting, subscriptions, and sharing datasets, while managing permissions and layouts for optimal viewing.