Power BI Course Syllabus 2026: Full Modules from Basics to Advanced

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Quick Answer

This Power BI syllabus runs from SQL foundations through report design, Power Query, multi-level DAX, Power BI Cloud, RLS, Report Server, and a real-time project.
Core skill blocks: visuals & filters, Power Query ETL, DAX measures, Service/share, and security.
Use the module list as a checklist when comparing institutes — ask which labs map to each module.
Book a free Asmorix demo to match this syllabus to weekday or weekend batches in Chennai.

This Power BI course syllabus is a complete module checklist for learners who want to go from SQL and BI basics to advanced report design, Power Query, multi-level DAX, Power BI Service, RLS, Report Server, Power Apps, and a real-time project. Use it to compare institutes, plan self-study, or map labs before you join Power BI Training in Chennai. Related foundations and companion skills include SQL Training in Chennai, Data Analytics Training in Chennai, and Microsoft Azure Training in Chennai.

💡 Note
A complete Power BI syllabus should cover report design, visual sync, grouping, hierarchies, filters, bookmarks, modeling, Power Query, DAX (multiple levels), Power BI Cloud, Excel & RLS, Report Server / RDL, and a guided real-time project — not visuals alone.

Who Should Follow This Power BI Syllabus?

This Power BI syllabus suits freshers aiming for Data Analyst roles, working professionals moving into BI reporting, and Excel users who want job-ready Power BI Desktop and Service skills. If you already know SQL basics, you will progress faster through Power Query and DAX. Absolute beginners can start with Module 1 and the linked SQL training path.

Module 1: SQL Server Introduction

Data, databases, and RDBMS software
Database types: OLTP, DWH, OLAP
Microsoft SQL Server advantages and real-time use
Versions and editions of SQL Server
SQL purpose and real-time usage options
SQL versus Microsoft T-SQL (MSSQL)
SQL Server career options for BI learners
SQL Server components and usage
Database Engine component and OLTP
BI components and data science components
ETL, MSBI, and Power BI components overview
Course plan, concepts, resume, and project orientation

Module 2: Introduction to Power BI

Power BI job roles in real time
Power BI Data Analyst job roles
Business Analyst job roles
Power BI Developer job roles
Power BI for data science workflows
Comparing MSBI and Power BI
Comparing Tableau and Power BI
Types of reports in the real world
Interactive and paginated reports
Analytical and mobile reports
Data source types in Power BI
Power BI licensing plans and types
Power BI lab plan and practice workflow
Power BI development and production environments
Understanding Power BI tools
Installing Power BI and connecting to data
Working with Query Editor
Working with the data model and creating a visualization

Module 3: Basic Report Design

Power BI Desktop installation
Data sources and visual types
Canvas, Visualizations, and Fields panes
Get Data and in-memory tables
In-memory xVelocity database concepts
Table and Tree Map visuals
Format options and data labels
Legend, category, and grid settings
PBIX and PBIT file formats
Visual interaction and data points
Disabling visual interactions
Edit Interactions format options
Spotlight and Focus Mode
CSV and PDF exports, tooltips
Power BI ecosystem and architecture overview

Module 4: Visual Sync, Grouping

Slicer visual: real-time usage
Orientation and selection properties
Single and multi-select, CTRL options
Slicer for number, text, and date data
Slicer list and slicer dropdowns
Visual sync limitations with slicers
Disabling slicers and clearing selections
Grouping: real-time use and examples
List grouping and binning options
Grouping static / fixed data values
Grouping dynamic / changing data
Bin size and bin limits (max, min)
Bin count and grouping options
Grouping binned data and classification

Module 5: Hierarchies, Filters

Creating hierarchies in Power BI
Independent drill-down options
Dependent drill-down options
Conditional drill-downs and data points
Drill-up buttons and operations
Expand and show next level options
Dynamic data drill limitations
Show Data and See Records
Filters: types and real-time usage
Visual filter, page filter, report filter
Basic, advanced, and Top N filters
Category and summary-level filters
Drill-through filters and drill-through reports
Keep All Filters options in drill-through
Cross-report filters, include and exclude

Module 6: Bookmarks, Azure, Modeling

Drill-through filters and page navigations
Bookmarks: real-time usage
Bookmarks for visual filters
Bookmarks for page navigations
Selection Pane with bookmarks
Buttons and images with actions
Buttons, actions, and web URLs
Bookmarks view and Selection Pane
OLTP databases and big data sources
Azure database access for reports
Import and DirectQuery with Power BI
SQL queries and Enter Data
Data modeling: currency and relationships
Summary, format, and synonyms
Web view and mobile view in Power BI

Module 7: Visualization Properties

Stacked charts and clustered charts
Line charts, area charts, bar charts
100% stacked bar and column charts
Map visuals: tree, filled, bubble
Cards, funnel, table, matrix
Scatter chart: play axis and labels
Series clusters and selections
Waterfall chart and ArcGIS maps
Infographics, icons, and labels
Color saturation and sentiment colors
Column series and column axis in line charts
Join types: round, bevel, miter
Shapes, markers, axis, plot area
Display units, data colors, shapes
Series, custom series, and legends

Module 8: Power Query Level 1

Power Query M language purpose
Power Query architecture and ETL
Data types, literals, and values
Power Query transformation types
Table and column transformations
Text and number transformations
Date, time, and structured data
List, record, and table structures
let, source, in statements in M
Power Query functions and parameters
Invoke functions and execution results
Get Data, table creations, and edit
Merge and append transformations
Join kinds, Advanced Editor, Apply
ETL operations with Power Query

Module 9: Power Query Level 2

Query Duplicate and Query Reference
Group By and advanced options
Aggregations with Power Query
Transpose and header row promotion
Reverse rows and row count
Data type changes and detection
Replace columns: text and non-text
Replace nulls: fill up, fill down
Pivot and Unpivot transformations
Move column and split column
Extract, format, and number tools
Date and time transformations
Deriving year, quarter, month, day
Add Column query expressions
Query step inserts and step edits

💡 Tip
Power Query depth separates casual chart builders from BI professionals. Refresh-safe transforms and clear step names matter as much as visuals.

Module 10: Power Query Level 3

Creating parameters in Power Query
Parameter data types and default lists
Static and dynamic lists for parameters
Removing columns and duplicates
Convert tables to list queries
Linking parameters to queries
Testing parameters on the Power BI canvas
Multi-valued parameter lists
Creating lists in Power Query
Converting lists to table data
Advanced edits and parameters
Data type conversions and expressions
Columns from examples and indexes
Conditional columns and expressions

Module 11: DAX Functions – Level 1

DAX importance in real-time projects
Real-world usage of Excel and DAX
DAX architecture and entity sets
DAX data types and syntax rules
DAX measures and calculations
Row context and filter context
DAX operators and special characters
DAX function types in real time
VertiPaq engine and DAX cheat sheet basics
Creating and using measures with DAX
Creating and using columns with DAX
Quick measures and summaries
Validation errors and runtime errors
SUM, AVERAGEX, KEEPFILTERS
Dynamic expressions and IF in DAX

Module 12: DAX Functions – Level 2

Data modeling options for DAX
Detecting relationships for DAX
Using calculated columns in DAX
Using aggregated measures in DAX
Working with facts and measures
Modeling missing relationships
Relationship management
CALCULATE function conditions
CALCULATE and ALL member scope
RELATED and COUNTROWS in DAX
Entity sets and slicing in DAX
Dynamic expressions and RETURN
Date, time, and text functions
Logical and mathematical functions
Running total and EARLIER function

Module 13: DAX Functions – Level 3

Connections with CSV and MS Access
AVERAGEX and AVERAGE in DAX
KEEPFILTERS and CALCULATE
COUNTROWS, RELATED, DIVIDE
PARALLELPERIOD and DATEADD
CALCULATE and PREVIOUSMONTH
USERELATIONSHIP and DAX variables
TOTALYTD and TOTALQTD
DIVIDE, CALCULATE, and conditions
IF…ELSE…THEN patterns
SELECTEDVALUE and FORMAT
SUM and DATEDIFF examples
TODAY, DATE, DAY with DAX
Time intelligence functions in DAX

Module 14: Power BI Cloud – 1

Power BI Service architecture
Power BI Cloud components and usage
App workspaces and report publish
Reports and related datasets in the cloud
Creating new reports in the cloud
Report publish and report uploads
Dashboard creation and usage
Adding tiles to dashboards
Pinning visuals and report pages
Visual pin actions in dashboards
Live page interaction in dashboards
Adding media: images and custom links
Adding text and embed links
API data sources and streaming data
Streaming dataset tiles (REST API)

Module 15: Power BI Cloud – 2

Dashboard actions and report actions
Dataset actions: create report
Share, metrics, and exports
Mobile view and dashboard themes
Q&A and pin visuals
Export and subscribe options
Favorite, insights, embed code
Featured dashboards and refresh
Gateway configuration for Power BI Service
Gateway types and cloud connections
Gateway clusters and adding data sources
Data refresh: manual and automatic
Gateway service logs and audits overview
Dataflows and Power Query expressions
Adding entities and JSON files

Module 16: Excel & RLS

Import and upload options with Excel
Excel workbooks and dashboards
Datasets in Excel and dashboards
Using Excel Analyzer in Power BI
Using Excel Publisher in Power BI Cloud
Excel workbooks and pins in Power BI
Excel ODC connections and Power Pivot
Row-level security (RLS) with DAX
Need for RLS in Power BI Cloud
Data modeling in Power BI Desktop for RLS
DAX roles creation and testing
Adding Power BI users to roles
Custom visualizations in the cloud
Histogram, Gantt chart, infographics

Module 17: Report Server, RDL

Need for Report Server in production
Install and configure Report Server
Report Server DB and temp database
Web Service URL and Web Portal URL
Creating a hybrid cloud with Power BI
Using Power BI Desktop optimized for Report Server
Uploading interactive reports
Report Builder for Report Server
Report Builder for Power BI Cloud
Designing paginated reports (RDL)
Deploy to Power BI Report Server
Data source connections for reports
Power BI Report Server to Cloud options
Tenant IDs generation and use
Mobile Report Publisher overview

💡 Insight
Paginated (RDL) reports still matter for pixel-perfect operational reporting. A strong syllabus covers both interactive PBIX reports and RDL delivery paths.

Module 18: Power Apps

Overview of Power Apps with Power BI scenarios
Basic Power Apps concepts
Canvas apps, navigation, and customization
Galleries, data cards, and forms
Triggers, functions, and formulas
Edit forms and text boxes

Module 19: Power BI Service & Power BI Mobile

Why Power BI Service matters
Comparing Power BI Free and Premium concepts
Logging into Power BI Service
Interface overview
Importing data from Desktop to Service
Dataset menu and report workflows
Dashboard overview
Workspaces and gateways
Installing gateways: personal and on-premises
Working alone or collaborating with colleagues
Collaborating in app workspaces
Sharing results and publishing the app
Content packs from online services
Power BI Mobile overview
Excluding a dataset from sharing

Module 20: Power BI and Excel Together

Options for publishing from Excel
Pin Excel elements to Power BI
Analyze in Excel (Pro / Premium scenarios)
Excel publish: upload and export to Power BI
Sharing published Excel dashboards

Module 21: Real-Time Project

Capstone delivery follows a structured project flow used in placement-oriented training.

Project requirement analysis
Implementing SDLC phases
Requirement gathering and functional analysis

Phase 1

PBIX report design
Visualizations and properties
Analytics and formatting

Phase 2

Data modeling and Power Query
Dynamic connections and Azure DB options
Parameters and M language scripts

Phase 3

DAX requirements and analysis
Cloud and Report Server deployment concepts
Project FAQs and solution walkthrough

How to Use This Syllabus

Bring this Power BI course syllabus to counseling and ask which labs map to each module, which datasets you will practice on, and how many mentor review cycles you get on your .pbix files. Confirm coverage for Power Query, DAX, Power BI Service, RLS, and the real-time project before you enroll. For batch timings, fees, and placement-oriented Power BI training in Chennai, visit Power BI Training in Chennai with Placement.

After Power BI, many learners deepen analytics or cloud skills with these Asmorix paths:

Power BI Training in Chennai — classroom and live online batches with placement support
Data Analytics Training in Chennai — Excel, SQL, Power BI, and storytelling
SQL Training in Chennai — query foundations for BI modeling
MSBI Training in Chennai — SSIS, SSAS, SSRS stack
Tableau Training in Chennai — alternate visualization path
Data Science Course Syllabus — next step beyond dashboards
DevOps Course Syllabus — complementary IT career track

Frequently Asked Questions

What does the Power BI course syllabus cover?

The Power BI course syllabus covers SQL Server introduction, Power BI basics, report design, slicers and grouping, hierarchies and filters, bookmarks and modeling, visualization properties, Power Query (3 levels), DAX (3 levels), Power BI Cloud, Excel & RLS, Report Server/RDL, Power Apps, Service & Mobile, Excel integration, and a real-time project.

Is this Power BI syllabus suitable for beginners?

Yes. Beginners can start with Module 1 (SQL Server introduction) and progress through Desktop report design before Power Query and DAX. Learners with Excel or SQL experience usually move faster.

Is SQL included in the Power BI syllabus?

Yes. Module 1 introduces SQL Server concepts, OLTP/DWH ideas, and how SQL supports Power BI data workflows before Desktop reporting begins.

How deep is DAX in this syllabus?

DAX is taught across three levels: fundamentals (row/filter context, measures), modeling with CALCULATE/RELATED, and advanced time intelligence patterns such as YTD, DATEADD, and USERELATIONSHIP.

Does the syllabus include Power BI Service and gateways?

Yes. Cloud modules cover workspaces, dashboards, pinning, refresh, gateways, dataflows, sharing, apps, and mobile scenarios.

Is row-level security (RLS) part of the course?

Yes. The Excel & RLS module covers DAX roles, testing, and assigning users to roles for secure cloud sharing.

Is there a real-time project in the syllabus?

Yes. Module 21 is a phased real-time project covering PBIX design, Power Query/modeling, DAX, and cloud/report server delivery concepts.

Where can I join Power BI training for this syllabus in Chennai?

Asmorix offers mentor-led Power BI training with placement support in Chennai. Book a free demo or use the syllabus form to map this module list to weekday or weekend batches.

Pragadeesh

Pragadeesh is a software professional and technical mentor at Asmorix. He specializes in AI, Full Stack, Python, Java, .NET, Data Science, Cloud, Testing, DevOps, Cyber Security, and Digital Marketing training guidance for learners in Chennai.

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