
Explore how to design and create Power BI reports using multiple design approaches—from sketching on paper to modeling from existing reports—by reviewing the retail analysis sample file.
Create a new page, insert a pie chart visualization, and compare regular sales units with markdown sales units by dragging fields into the chart from the fields pane.
Style a Power BI pie chart by toggling the legend, hiding detail labels, updating title to regular sales and markdown sales units, centering it, and applying background color and shadow.
Create a clustered column chart in Power BI, add this year's sales, last year's sales, and variance by chain and territory, then apply visual filters and enable data labels.
Learn to add and format a slicer, filter visuals, and synchronize that slicer across multiple Power BI pages like KPI and rag versus markdown.
Create a drill through page in Power BI. Use a multi-row card for last year’s, this year’s, and total sales, with category as the drill field.
Build a sales by category page in Power BI, add a stacked bar chart, and implement two dropdown slicers for chain and buyer to enable drillthrough navigation.
Learn to implement drill through in Power BI by right-clicking a category, viewing target page for category-specific sales, and using the buyer slicer to compare last year and this year.
Format the drill-through page for sales by category by clearing filters on source and drill-through pages, and style a multi-row card with a bluish border and light background.
Apply conditional formatting in Power BI by using a table visualization with last year's and this year's sales, and set diverging color scale with min 20m, center 23.5m, max 25m.
Create and manage bookmarks in Power BI to save filtered views, rename them (for example Evangeline Bright), and quickly apply them from the bookmarks pane.
Explore accessibility features in Power BI reports, from no-configuration options like keyboard navigation and high-contrast colors to configurable text, tab order, titles, and themes.
Enhance accessibility in Power BI by adding alt text to bar charts and enabling a data table with Alt+Shift+F11. Adjust tab order in the selection pane to streamline keyboard navigation.
Learn to improve accessibility in power bi by adjusting tab order, applying a colorblind safe theme, and adding a histogram visualization from appsource, then pinning it for reuse.
Build a histogram from an Excel salary dataset in Power BI, load data, create bins, and use employee counts as frequency while formatting axis decimals.
Explore viewing and duplicating reports with a scatter chart, swap fields, and copy visuals in Power BI desktop. Learn slicers, drill-throughs, conditional formatting, bookmarks, histograms, and accessibility options.
Create dashboards in the Power BI service by pinning visuals and using real-time data. Explore forms, Power Automate, videos, themes, tile alerts, Q&A, and sharing from the Sample Superstore dataset.
Access the sample superstore report in the service, add a table, stacked bar chart, and total sales card, then pin the page to a new dashboard named Sample Superstore.
Create real-time Power BI dashboard using push, streaming, and Pubnub; push stores history, streaming stores for an hour, Pubnub stores none, and use Microsoft Forms to push data into dataset.
Create and configure a three-question Microsoft Forms survey to submit data into a cloud dataset, including a technology interest question and experience level, then push responses to the dataset.
Create and configure a streaming data set in Power BI using the push API, building a new workspace, and defining fields like technology, experience, and location with historic data retention.
Create a real-time dashboard by building a report from a streaming dataset, adding a table, a map, a stacked column chart, and a card visualization, then save as streaming.
Pin visuals with the pen visual to a streaming dashboard to display real-time updates as new data pushes into the dataset.
Organize the streaming dashboard visuals and build a Power Automate flow to push new Microsoft Forms responses into a Power BI streaming dataset, mapping technology, experience, and location.
Design a live streaming dashboard in Power BI by pushing survey responses into a streaming dataset, building and pinning visuals, and automating data flow from form submissions.
Apply a Power BI dashboard theme by choosing dark, colorblind friendly, or custom options and save, then add video or image tiles using a YouTube or Vimeo url.
Set a featured dashboard to open by default and add others to favorites, then view usage metrics, print or export to Excel, and configure the mobile layout and web layout.
Create a video enhanced dashboard by adding a video tile, copying and pasting a URL, and displaying a title and subtitle on the supplier quality analysis dashboard.
NOTE: I am disable from voice and I used Artificial intelligence voice.
“This course contains the use of artificial intelligence.”
This course, “Master Microsoft Power BI: From Beginner to Expert (2025 Edition)”, is your complete guide to mastering one of the most powerful data visualization and business intelligence tools available today. Whether you’re a student, professional, or business owner, Power BI can transform the way you view, analyze, and share data.
Starting from the very basics, this course walks you through every essential concept — from connecting data sources and transforming raw data to creating interactive dashboards and reports. You’ll learn how to use Power Query, DAX (Data Analysis Expressions), and Power BI Service to share insights securely across your organization.
The course focuses on hands-on, practical learning. You’ll work with real-world datasets to create reports that help make data-driven decisions. By the end of this course, you’ll have the skills to build professional dashboards, automate reporting processes, and visualize data in ways that inspire confidence and clarity.
Whether your goal is to upskill, get a promotion, or start a career in data analytics, this course will equip you with everything you need. No prior experience is required — just a willingness to learn and explore data in new ways.