Power BI Course Syllabus

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.

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

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

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.

Related Courses & Syllabus Guides

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

How to use this Power BI Course Syllabus guide

Read Power BI Course Syllabus once for the map, then a second time with a notebook. On the first pass, mark every term you cannot explain out loud. On the second pass, close the page and write those terms in your own words. A fresher who can teach the idea is the fresher who clears the interview. A fresher who only recognises the heading still freezes when the panel changes one word in the question.

Keep the examples next to the definitions. For Power BI Course Syllabus, an example is a tiny input, the step you take, and the output you expect. If you cannot write that trio, you do not know the topic yet. Chennai panels, campus drives, and lateral rounds all use this test. They rarely ask you to recite a paragraph. They ask you to apply one idea to a new case.

Set a 45-minute block. Spend 15 minutes reading one section of Power BI Course Syllabus, 20 minutes doing the example by hand, and 10 minutes writing a three-line summary. Stop when the summary is specific. “It is important for freshers” is not a summary. “Here is the input, here is the check, here is the mistake I made” is a summary you can say in an interview.

What to practise first

Start with the core of Power BI Course Syllabus, not with the advanced corner. Write the ten ideas that the rest of the topic stands on. For each idea, add one example you created, not one you copied. If the guide shows a sample, change the numbers or the names and solve it again. Copying the sample feels fast and teaches nothing. Changing it shows whether you followed the logic.

Practise speaking. Read a heading from Power BI Course Syllabus, look away, and explain it for sixty seconds. Record it. Listen for filler and for steps you skipped. Interviewers in Chennai notice skipped steps more than they notice accent. If you jump from the question to the answer with no middle, they assume you memorised a result.

Build a one-page cheat sheet after you understand the topic, not before. The sheet should contain formulas, edge cases, and the two mistakes you personally made. It should not contain every sentence from Power BI Course Syllabus. A long cheat sheet is a second textbook. A short one is a tool you can review on the morning of an interview.

A four-week plan for Power BI Course Syllabus

Week one is vocabulary and the happy path. Learn the words in Power BI Course Syllabus and complete the simplest full example from start to finish. Do not collect five tutorials. Finish one path so you can repeat it without the page open. At the end of the week, teach that path to a friend or to a blank document.

Week two is edge cases. Ask what happens when the input is empty, duplicated, too large, or in the wrong format. Power BI Course Syllabus becomes useful here. Most fresher answers cover only the normal case. Panels ask for the broken case because that is what the job contains. Write five broken cases and the result you expect for each.

Week three is speed and explanation. Time yourself. Solve a small problem related to Power BI Course Syllabus in twenty minutes, then spend ten minutes writing how you checked the answer. Speed without a check is how wrong answers get submitted with confidence. The written check is what you will say when the interviewer asks “how do you know?”

Week four is a mock. Pick six questions from Power BI Course Syllabus and answer them out loud without notes. Score yourself on correctness and on clarity. Redo only the ones you missed. The day before a real interview, review the cheat sheet and sleep. New topics on the last night do not stick.

Mistakes that keep Power BI Course Syllabus shallow

The first mistake is highlighting instead of solving. A highlighted PDF of Power BI Course Syllabus is not practice. Close it and produce an output. The second mistake is tool collecting. Freshers add five tools to a resume after reading one page about each. Panels pick one tool and go deep. Depth on the main idea in Power BI Course Syllabus beats a list.

The third mistake is skipping the why. If you can name a step but cannot say why the previous step exists, the answer collapses when the question is reworded. The fourth mistake is ignoring fundamentals that the topic sits on, such as clear writing, basic logic, and careful reading of the problem. Power BI Course Syllabus will not save a candidate who did not read the question.

The fifth mistake is waiting to feel ready. Apply and sit mocks while you are still imperfect. Each mock shows the next gap in Power BI Course Syllabus. A private reread does not. Book the mock, note the exact question you lost, and patch that gap the same day.

How Power BI Course Syllabus shows up in Chennai interviews and jobs

Chennai service companies, product teams, and campus drives use topics like Power BI Course Syllabus as a filter, not as a trivia round. They want to see whether you can learn a task and explain it to a teammate. Bring one example you did yourself. Walk through the input, the decision, and the result. Stop talking when the result is clear. Extra theory after a clear result makes the answer worse.

On the job, the same topic shows up as a ticket, a review comment, or a question from a senior. You will not get a paragraph of context. You will get a broken case and a deadline. The four-week plan above is practice for that moment. People who only read Power BI Course Syllabus the night before an interview forget it the week after they join. People who solved examples still have the reflex.

If this topic supports a role you want, connect it to a project in your resume with one measurable line. “Studied Power BI Course Syllabus” is weak. “Used the idea from Power BI Course Syllabus to fix a specific bug, query, page, or case, and here is what changed” is strong. Asmorix mentors in Chennai push students to that second sentence because that is what hiring panels score.

Checklist before you claim Power BI Course Syllabus

• I can explain the core idea in Power BI Course Syllabus in sixty seconds without reading.
• I have five examples I created, including two that fail on purpose.
• I can say why each step exists, not only what the step is called.
• I have a one-page sheet of my own mistakes.
• I have answered six questions out loud and redone the ones I missed.
• My resume line points at a result, not at the name of the topic.

If any line is still false, stay on that line for two more sessions. Do not open a new topic to avoid the gap. The candidate who finishes Power BI Course Syllabus properly outperforms the candidate who sampled ten guides and owns none of them.

Questions freshers ask about Power BI Course Syllabus

Is reading Power BI Course Syllabus enough to clear an interview?

Reading is the start. Interviews test whether you can use the idea on a new input and explain the check you did. Plan at least as much practice time as reading time. If you have only read, say you are still practising. Do not claim mastery you cannot demo.

How long does Power BI Course Syllabus take for a fresher?

A focused fresher can get interview-ready on one topic in about four weeks of daily 45-minute sessions. Rushing it into two evenings produces familiar headings and weak answers. Stretching it across six idle months produces the same result. The calendar above is the useful pace.

Should I memorise every line of Power BI Course Syllabus?

No. Memorise the checks and the edge cases. Keep definitions in your own words. Panels rephrase questions. A memorised paragraph fails the rephrase. A worked example survives it.

When you want a timetable, projects, and mock interviews around this kind of topic, look at the Asmorix courses in Chennai or the Asmorix blog for the next guide in the same path.

Official references

These public pages are the official documents for the terms used above.

• Power BI documentation
• Excel help