
Explore how Power BI enables data visualization, transformation, and storytelling to drive data-driven decisions. Gain hands-on experience with DAX, Power Query Editor, data modeling, and interview-ready projects for analyst roles.
Learn to create a free Power BI organizational account, start a one-month trial for one user, enter company details, verify with a small charge, and cancel on time.
Learn how to create a column chart in Power BI by plotting sales by segment, customizing axes, titles, and legends, and exploring region-based small multiples for insights.
Create and customize line and area charts in Power BI Desktop, visualizing profit by ship mode and quantity, with formatting, data labels, colors, and markers.
Master creating a ribbon chart in Power BI, ranking categories by sales across ship modes, and customizing axes, legends, and data labels with zoom and formatting options.
Explore creating and formatting Power BI line and stacked column charts as well as line and clustered column charts, with drill down, legends, and axis customization.
Create and format a scatter plot in Power BI to show the relationship between sales and profit, assign sales to x and profit to y, and adjust borders and markers.
Master transpose, pivot, and unpivot in the power query editor of power BI, learning how transpose swaps rows and columns, pivot aggregates sales by month, and unpivot reshapes data.
Explore the difference between add column and transform in power query editor by cleaning and splitting data from an excel sheet to create city, state, and pin code columns.
Explore data modeling concepts in Power BI by comparing star and snowflake schemas, distinguishing fact and dimension tables, and understanding primary and foreign keys that relate tables.
Explore DAX concepts like row and filter context, the sum vs sumx distinction, and using calculate with all, allselected, and allexcept in Power BI.
Apply top Power BI best practices: create a separate blank query for measures, limit visuals, use tooltips and drill-through, and filter data at source for performance.
Set up a Microsoft Fabric capacity and attach it to a Power BI workspace, enabling unified data analytics with Fabric, Copilot integration, and semantic model storage.
Begin an end-to-end Power BI project for Electro Hub to analyze sales, profit, and quantity by category, and answer top and bottom products, time trends, and discounts by category.
Master Power BI data modeling with a star schema linking a fact table to dimension tables via one-to-many relationships. Validate data types and manage active relationships with Power Query.
Discover the three filter types in Power BI desktop's filters pane—visual level, page level, and all pages—and how they shape a net sales bar chart.
Explore how to visualize sales trends over time in Power BI using a line chart, drill up and drill down across daily to yearly levels, with custom formatting.
Learn how to fulfill requirement four with Power BI by using edit interactions between two date filters and three bar charts for sales, profit, and quantity, avoiding larger models.
Learn to create dynamic slicer interactions across dimension and fact tables in Power BI, using a unidirectional relationship and a simple measure to show non-blank results.
Download and install Microsoft SQL Server Developer Edition, set up SQL Server Management Studio, and connect to Power BI using Windows authentication and a new query.
Load insurance data from a Microsoft SQL Server into Power BI Desktop, using import mode, transform with Power Query Editor, and publish to Power BI service.
Add and format a multi-row card and a ribbon chart in Power BI to display gender counts and claim status, with customized fonts, borders, and data labels for clear visuals.
Publish your Power BI desktop report to the Power BI service and select a workspace and account. Share the published report and manage viewing or editing permissions for collaborators.
Publish the Power BI report to a workspace, install a personal gateway, and configure data source credentials to enable a scheduled daily refresh with a chosen time zone.
Master drill through filters in Power BI to display table details on a second page, filtered by policy type via an interactive bar chart.
Publish the updated report from Power BI Desktop to the service, then test scheduled refresh and review refresh history to ensure new pages or drill through changes reflect.
Create and test row-level security roles in Power BI Desktop to restrict data by policy type (travel and health), then publish to Power BI service and validate roles there.
Add visuals for sentiment analysis in Power BI, including a word cloud, a bar chart, and a table, and publish the report to Power BI service.
Load and transform the UPI transactions data in Power BI desktop from an Excel source, using Power Query and data type adjustments, then load the model for profiling and reporting.
Add and customize a line chart in Power BI to show transaction amounts over time, using date on the x axis, 2024 data, and currency filters across all pages.
Learn how to sync slicers across Power BI report pages so selections on one page reflect on others, and apply conditional formatting to matrix visuals to color-code amounts.
Learn to create and manage bookmarks in Power BI to switch between a line chart and a column chart, using overlapping visuals, the selection pane, and a bookmark navigator.
Explore practical KQL basics by translating SQL to KQL, using explain to preview queries, and building select, where, top, order by, and between timestamp queries.
Master nested queries in kql by translating sql with the hyphen explain command, demonstrated on an employees table and username conditions; generate kql queries via grok when needed.
Unlock the full potential of your data with our Microsoft Power BI 4-in-1 Bundle! This comprehensive course is designed for aspiring data analysts, business intelligence professionals, and anyone eager to harness the power of data visualization and analysis.
What You'll Learn:
Power BI Desktop: Dive into the essentials of Power BI Desktop, where you'll learn how to connect to data sources, create stunning reports, and build interactive dashboards. Master data modeling, DAX (Data Analysis Expressions), and best practices for data visualization.
Power BI Service: Discover the capabilities of Power BI Service, including sharing and collaboration features. Learn how to publish reports, manage workspaces, and utilize Power BI apps to enhance teamwork and data accessibility.
Microsoft Fabric: Explore Microsoft Fabric's integration with Power BI. Understand how to leverage this unified platform for seamless data engineering, real-time analytics, and enhanced reporting capabilities.
Power BI Copilot: Get introduced to the AI-powered features of Power BI Copilot. Learn how to utilize natural language queries, generate insights, and automate tasks, making your data exploration more intuitive and efficient.
Course Features:
Hands-On Projects: Engage in practical exercises and real-world projects that reinforce your learning and build your portfolio.
Expert Instructors: Learn from industry professionals with extensive experience in data analytics and business intelligence.
Community Support: Join a vibrant community of learners where you can ask questions, share insights, and collaborate on projects.
Flexible Learning: Access the course materials anytime, anywhere, allowing you to learn at your own pace.
Who Should Enroll:
Aspiring data analysts and business intelligence professionals
Business users looking to make data-driven decisions
Anyone interested in enhancing their data visualization skills
Enroll Today!
Join us in this journey to become a Power BI expert and transform your data into actionable insights. Don’t miss out on this opportunity to elevate your career and decision-making capabilities!