Microsoft Power BI is a business intelligence platform used to connect to data, transform it, build data models, and publish interactive dashboards and reports. It helps teams analyze trends, track KPIs, and automate recurring reports across departments such as finance, HR, sales, and operations.
This course covers end-to-end BI workflow: importing data with Power Query, modeling with relationships and star schemas, writing DAX (Data Analysis Expressions) for measures, and designing effective visuals. Learners practice with real datasets and publish to Power BI Service for sharing, refresh scheduling, and row-level security (RLS).
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Skills developed in this program are relevant for roles such as:
Learners gain hands-on competence aligned with industry workflows (data extraction, cleansing, modeling, DAX measures, visuals, and governance in Power BI Service). Content aligns with Microsoft’s Power BI capabilities used across enterprises.
The course follows a practical project-based approach using realistic datasets.
The program is organized into progressive modules from Essentials to Advanced DAX and model design. Each module builds toward complete, production-ready dashboards published to the Power BI Service.
This course suits professionals who already work with spreadsheets and reporting but want to move beyond static Excel reports into interactive, automated dashboards.
It is ideal for finance analysts, sales operations staff, HR reporting leads, and IT or BI teams supporting decision-makers. It is equally relevant for managers who consume dashboards and want enough hands-on Power BI knowledge to request the right reports, spot data quality issues, and understand what is driving the numbers.
Because Power BI connects directly to common data sources like Excel, SQL, and cloud services, professionals already comfortable with basic data organization will find the transition to Power Query and DAX the most natural next step in their analytics skill set.
No prior coding experience is required. DAX is taught from fundamentals, and Power Query uses a visual interface for most data transformation tasks.
DAX is the formula language used in Power BI to create calculated measures and columns, enabling dynamic calculations like year-over-year growth or running totals.
A Windows laptop is recommended for Power BI Desktop, though Power BI Service can also be accessed through a web browser.
You will be able to build a capstone dashboard using multi-source data such as sales, finance, and HR data, published to a workspace with scheduled refresh and row-level security applied.
We deliver project-based Power BI training with real datasets, practical modeling, and DAX exercises. Small cohorts, guided labs, and post-class support ensure learners can build and publish production-ready dashboards.
Support begins at enrollment. Each candidate is offered a one-to-one session to map goals and datasets.
Hands-on labs with business scenarios. We emphasize data modeling, DAX reasoning, and visual best practices.
Modular structure with weekend options. Sessions designed for working professionals.
Over 120 hours of guided instruction and labs, focused on building job-ready BI solutions.
Ongoing support via email and group channels for Q&A and dashboard reviews.
Step-by-step lab guides, DAX reference sheets, and recommended modeling patterns.