Learn to extract and transform data from different sources using the Power Query Editor
Learn how to create a model based on a star scchema and relate tables
Learn to use DAX functions to create measures and calculations needed to perform data analysis
Learn to integrate different types of graphics and create a report that feeds an attractive dashboard
Publish reports to the PowerBI service to share your dashboard reports
Power BI helps turn business data into useful insights, reports, and dashboards.
Power BI is valuable in finance, marketing, operations, sales, management, consulting, and business analytics.
You can develop data analysis, visualization, reporting, problem-solving, and business intelligence skills that complement traditional business knowledge
Excel is designed for spreadsheets, calculations, and detailed individual analysis. Power BI specializes in interactive dashboards, data models, visual analytics, and sharing business intelligence.
Power Query helps import, clean, transform, and combine data. Learning it helps eliminate repetitive manual data preparation and improves efficiency with reporting.
DAX is Power BI’s formula language for creating calculations and measures. Learning DAX allows users to perform more sophisticated business analysis.
Learn how to use Microsoft Power BI to connect data, build interactive reports, create dashboards, and analyze business information. Our Power BI training classes provide practical, instructor-led instruction from beginner to advanced Power BI professionals.
Whether you need to learn Power BI for the first time or improve your existing reporting skills, our courses focus on the tools and techniques used to create effective business intelligence solutions.
Power BI combines data preparation, data modeling, visualization, and analytics in one business intelligence platform. Our Power BI classes take students from fundamental concepts through advanced reporting and analysis.
Learn the Power BI interface and understand how the major components work together.
A successful Power BI report begins with reliable data. Training includes connecting Power BI to common business data sources and preparing that information for analysis.
Data sources covered in ur class include:
Power Query is one of the most important Power BI skills because it allows data analysts to clean and transform data before it is loaded into the data model.
Learn how to prepare business data for reporting. Topics include removing unnecessary columns and rows, changing data types, replacing values, splitting columns, filtering records, and handling missing data.
Learn how to combine information from multiple tables and files using Power Query.
Training can include **Merge Queries**, **Append Queries**, joins, lookup tables, and combining recurring monthly reports.
Advanced students can learn how Power Query’s M language works and how custom transformations can be created when standard Power Query commands are not enough.
Data modeling is essential for creating accurate and efficient Power BI reports. Students learn how tables are connected and how relationships affect calculations and reporting.
Learn about one-to-many, one-to-one, and many-to-many relationships, primary and foreign keys, relationship direction, and common modeling problems.
Learn why fact tables, dimension tables, and properly structured data models are important when building professional Power BI solutions.
Learn how dedicated date tables support time-based analysis, including monthly, quarterly, and yearly reporting.
DAX, or Data Analysis Expressions, provides the calculations that make Power BI models powerful.
Learn how to create measures for common business calculations such as total sales, order counts, averages, percentages, and profitability.
Training can include commonly used functions such as `SUM`, `SUMX`, `CALCULATE`, `FILTER`, `DISTINCTCOUNT`, `DIVIDE`, and time-intelligence functions.
Learn how to calculate year-over-year growth, month-over-month changes, year-to-date totals, and other time-based business metrics.
A technically correct report still needs to communicate information effectively. Power BI training should therefore include dashboard design and visualization techniques.
Learn how to combine charts, tables, cards, slicers, and other visualizations into interactive reports.
Learn when to use bar charts, column charts, line charts, pie and donut charts, maps, tables, matrices, KPI cards, and other Power BI visuals.
Learn techniques for organizing dashboards, choosing appropriate visualizations, improving readability, and creating reports that help users make better business decisions.
Advanced Power BI classes can introduce more sophisticated business intelligence techniques.
Learn how to publish reports, create dashboards, manage workspaces, share reports, and collaborate with other users.
Understand the differences between Import and DirectQuery storage modes and when each approach makes sense.
Learn techniques for improving model performance, reducing unnecessary data, optimizing relationships, and writing more efficient DAX.
The best Power BI training should go beyond demonstrations. Students should work with realistic datasets and build reports throughout the course.
Hands-on exercises can include importing business data, cleaning information with Power Query, designing a relational data model, writing DAX measures, creating interactive visualizations, and developing a complete Power BI dashboard.
Whether you are an Excel professional moving into business intelligence, a manager who needs better reporting, or an analyst responsible for recurring reports, practical Power BI training can help you turn raw data into useful business information.