About This Course
Power BI is Microsoft's business intelligence platform and India's most widely adopted BI tool — installed in hundreds of thousands of organisations that already use Microsoft 365, Excel, Azure and Teams. It connects to virtually every data source, transforms raw data through Power Query, models it into a clean semantic layer and delivers interactive dashboards that anyone in the organisation can explore from any device. Aapvex's Power BI programme is built for professionals who want to go beyond basic charts and become the person their organisation relies on for data-driven decisions.
The gap between a casual Power BI user and a certified Power BI developer is DAX — Data Analysis Expressions. DAX is Power BI's formula language, and mastering it is what unlocks the platform's true analytical power: year-over-year comparisons, moving averages, cohort analysis, margin calculations, dynamic top-N rankings and complex KPI logic. Aapvex dedicates the largest portion of the programme to DAX — not just syntax, but thinking in DAX: understanding evaluation context, filter context, row context and the mental models that make complex DAX patterns intuitive rather than mysterious.
What You Will Learn — Full Curriculum
The curriculum is structured in 5 progressive modules. Each module includes live demonstrations, guided labs and independent assignments. You build a new dashboard at the end of each module, resulting in a 5-dashboard portfolio by course completion.
Tools & Technologies Covered
Who Should Join This Course?
- Data analysts building interactive dashboards for stakeholders
- Excel users upgrading to Power BI for scalable reporting
- HR, finance & marketing professionals creating self-service reports
- BI developers targeting PL-300 Microsoft certification
- IT professionals deploying Power BI across organisations
- Managers wanting data-driven visibility into their teams
Prerequisites:
- Comfortable with Microsoft Excel (basic pivot tables helpful)
- Basic SQL knowledge is beneficial for data modelling modules
- No programming experience required — DAX is taught from zero
Career Path After This Course
Salary & Job Roles
| Job Role | Salary Range | Key Skills Used |
|---|---|---|
| Power BI Developer | ₹4L–₹9L/yr | DAX, Power Query, dashboards |
| BI Analyst | ₹6L–₹12L/yr | Data modelling, reporting, RLS |
| Data Analyst — Microsoft Stack | ₹5.5L–₹11L/yr | Excel + SQL + Power BI |
| Power BI Consultant | ₹10L–₹22L/yr | Client-facing BI solutions |
| BI Architect / Lead | ₹18L–₹35L/yr | Enterprise BI design, governance |
| Head of BI (7yr) | ₹28L–₹55L+/yr | BI strategy, team, roadmap |
Industries Hiring Power BI Professionals
Frequently Asked Questions
Power BI is Microsoft's business intelligence and data visualisation platform. It lets you connect to data sources, transform and model the data, and build interactive dashboards and reports that can be shared across your organisation. It is the most popular BI tool in India because most Indian IT services companies, BFSI firms and manufacturers already use the Microsoft ecosystem — Excel, Azure, SQL Server, Teams — and Power BI integrates seamlessly with all of them. It is also significantly more affordable than Tableau and included in many Microsoft 365 licences, making it the default choice for hundreds of thousands of Indian companies.
DAX (Data Analysis Expressions) is the formula language used in Power BI, Power Pivot and Analysis Services to create custom calculations and measures. It looks similar to Excel formulas on the surface but works fundamentally differently — DAX operates on tables and columns rather than cells, and uses the concept of "evaluation context" (filter context and row context) which confuses most beginners. Understanding how CALCULATE modifies filter context, how iterators like SUMX and RANKX work, and how time intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR operate requires dedicated study. Aapvex teaches DAX through a mental model approach — not just syntax memorisation — which is why our students master it faster than self-learners.
Power Query and DAX solve different problems at different stages of the Power BI workflow. Power Query (written in M language) handles data preparation — connecting to sources, removing dirty rows, reshaping columns, merging tables and loading clean data into the model. It runs before your data is loaded. DAX handles analytical calculations after the data is loaded — creating measures like sales growth %, running totals, customer ranks or year-over-year comparisons that respond to filter selections on your dashboard. A complete Power BI developer needs to master both. Aapvex covers Power Query fully in Modules 2–3 and DAX in Modules 6–9.
PL-300 (Microsoft Certified: Power BI Data Analyst Associate) is Microsoft's official Power BI certification. It validates your ability to prepare data, model data, visualise data and deploy/maintain Power BI assets. The exam costs approximately $165 USD, has 40–60 questions (multiple choice + case studies) and requires roughly 700/1000 to pass. It is a moderately challenging exam — candidates with 3–6 months of hands-on Power BI practice and structured exam prep typically pass on their first attempt. Aapvex dedicates the final module of the course to PL-300 preparation including topic-by-topic review, full mock tests and exam strategy.
Row-Level Security restricts which rows of data specific users can see when they view a Power BI report. For example, a regional sales manager should only see data for their region, not all regions — RLS enforces this automatically based on the user's login identity. Static RLS uses fixed roles (you assign users to a "North Region" role). Dynamic RLS uses DAX expressions with USERPRINCIPALNAME() to automatically filter data based on who is logged in — far more scalable for large organisations. RLS is an essential enterprise skill that every serious Power BI developer must know, and Aapvex covers both static and dynamic RLS with real deployment scenarios.
This is one of the most important distinctions in Power BI data modelling. A calculated column is computed row-by-row when data is loaded and stored in the model — it is useful for categorisation, flags and values that do not change with filter selections. A measure is computed on-the-fly in response to the filters applied on your dashboard — it recalculates every time a user clicks a slicer or changes a filter. Measures are the correct choice for aggregations (total sales, average rating, % growth) because they respond to context. Using calculated columns where measures should be used is the most common mistake Power BI beginners make and causes incorrect calculations and slow reports.
Yes — Power BI has over 100 native connectors covering virtually every data source. Enterprise connectors include Snowflake, Azure Synapse, Google BigQuery, AWS Redshift, SAP HANA, SAP BW, Salesforce, Dynamics 365, Oracle, SQL Server, MySQL, PostgreSQL, SharePoint, Google Analytics, Stripe, Zendesk, GitHub and many more. You can use DirectQuery mode (live queries to the source) or Import mode (data cached in Power BI) depending on your performance and freshness requirements. Aapvex teaches connector selection strategy, DirectQuery vs Import trade-offs and query optimisation for the most common enterprise sources.
Power BI Desktop is the free Windows application where you build and design reports and dashboards. Power BI Service (powerbi.com) is the cloud platform where you publish those reports to share with your organisation. Service adds collaboration features like workspaces (team environments), apps (curated report collections for specific audiences), scheduled data refresh (automatically updating dashboards), row-level security enforcement, usage analytics and mobile access. Power BI Service also adds Dataflows (cloud-based Power Query) and Deployment Pipelines (dev/test/prod promotion). Aapvex covers the full Service workflow including publishing, workspace management, refresh schedules and the gateway setup required for on-premise data sources.
Power BI professionals are consistently in demand across India's IT, BFSI and manufacturing sectors. Junior Power BI developers earn ₹3.5L–₹6.5L/yr. Mid-level BI developers with strong DAX and data modelling skills earn ₹8L–₹14L/yr. Senior Power BI developers, BI architects and PL-300 certified professionals earn ₹14L–₹28L/yr. BI Leads and Heads of Analytics in large organisations earn ₹28L–₹55L+. Power BI is one of the best return-on-investment upskilling options for analysts who already know Excel — the salary jump from Excel-only to Power BI proficiency is typically 40–60%.
The Power BI programme starts from ₹17,999 — making it one of the most accessible professional BI certifications available. No-cost EMI is available across 3, 6 and 12 months. The course includes Power BI Desktop (free), curated datasets for all 5 dashboard projects, DAX Studio and Tabular Editor setup, PL-300 exam prep mock tests, a Tableau Public-equivalent portfolio on Power BI Service and full placement support. Call 7796731656 or WhatsApp for the current batch schedule, fee details and any running discounts.