
4 Nov 2026
Excel vs Power BI at Work: Which Skill Do You Need?
Excel is strong for calculation and flexible analysis. Power BI is built for interactive reports that many people share. Here is how to choose, and why many teams use both.
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.
Offered by Leaders Training Centre

These apply to the centre. See Key facts for this course's certificate.






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).
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.

Skills developed in this program are relevant for roles such as:
Business Intelligence Analyst / Data Analyst
Reporting Analyst / Finance Analyst
Operations & Sales Performance Analyst
Dashboard Developer for management reporting
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.
Power Query: connect to Excel/CSV/SQL, merge/append, data cleansing, parameters.
Data Modeling: relationships, star schema, calendars, hierarchies, role-playing dimensions.
DAX Fundamentals: calculated columns, measures, filter context, time intelligence.
Visualization: best practices, bookmarks, drill-through, tooltips, report theming.
Power BI Service: workspaces, sharing, apps, scheduled refresh, Row-Level Security (RLS).
Governance: datasets vs. dataflows, lineage view, basic deployment considerations.
Basic proficiency with spreadsheets (Excel or equivalent).
Comfort with data tables (rows, columns, filters) and simple formulas.
Laptop with recent Power BI Desktop (Windows) or access to Power BI Service.
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.
Getting started with Power BI Desktop & Service
Connecting to files and databases, shaping data with Power Query
Basic visuals, slicers, filters, and drill features
Intro to DAX: SUM, COUNTROWS, simple calculated columns
Star schema design, fact vs. dimension tables, many-to-one relationships
DAX measures, evaluation and filter context, CALCULATE and context transition
Time intelligence: DATEADD, TOTALYTD, rolling periods
Performance tips, row-level security (RLS), deployment and refresh planning
Capstone dashboard using multi-source data (sales/finance/HR)
Short scenario tasks: data cleaning, DAX measure creation, visual redesign
Publish to workspace, set scheduled refresh, apply RLS for stakeholder roles
No strict prerequisite; prior exposure to Excel/CSV tables is helpful.
Windows laptop recommended for Power BI Desktop; web access for Power BI Service.
Sample datasets provided during the course.
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.
Spreadsheet skills: Advanced Excel and Business Reporting.
Analysis: Business Data Analytics Fundamentals.
Finance teams: Financial Data Analysis.
Marketing teams: Marketing Analytics Fundamentals.
Training a team? Ask about corporate training in Qatar.
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.
Ongoing support via email and group channels for Q&A and dashboard reviews.
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.
Step-by-step lab guides, DAX reference sheets, and recommended modeling patterns.
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.
Tell us a little about yourself and an advisor will contact you about batch timings, fees and eligibility. No obligation.
Sat–Thu: 09:00–22:00Fri: 08:00–22:00
Fill in the form and the brochure (Microsoft Power BI — Course Handbook) downloads straight away. We will also send a copy by email.

4 Nov 2026
Excel is strong for calculation and flexible analysis. Power BI is built for interactive reports that many people share. Here is how to choose, and why many teams use both.

Microsoft Excel improves productivity, helps present information effectively, and eliminates the need for paper-based work by enabling charts and data visualization.


Set up and manage team workspaces using Microsoft Teams and SharePoint, including channels, sites, document libraries, permissions, versioning and Microsoft Lists.

Analyze business data rigorously in Microsoft Excel: clean data with Power Query, apply statistics and regression, run what-if scenarios, optimize with Solver and build forecasts.
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