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Power BI Course

47,171 Ratings

  • Curriculum aligned to clear PL-300 to fast-track your growth in BI career.
  • Build dynamic dashboards and reports to master Power BI skills
  • Learn to use GenAI in Power BI for storytelling and data analysis.
  • Get Certified by Microsoft and work on real world projects.
In Collaboration With
Microsoft

Key Highlights

27 Hrs Instructor Led Training
16 Hrs Self-paced Videos
30 Hrs Project & Exercises
Microsoft Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24/7 Support
Trustpilot 3109
sitejabber 1493
mouthshut 24542

Power BI Course Overview

What will you learn in this Power BI Training?

As a part of this online Power BI Certification course you will:

  • Build interactive charts, graphs, and reports to visualize real-world business data.
  • Integrate different source systems like Salesforce, Azure SQL Database, and SQL Server Analysis Services for data analysis.
  • Work on industry-grade, real-time projects to gain Industry exposure.

Here are some Power BI jobs that are available after getting certified in a Power BI Course, along with their job profiles and salary trends:

Role USA (USD) India (INR/year)
Power BI Developer $108 K–131 K (up to $145 K with bonuses) ₹6 L–12 L mid-level; senior ₹12 L–20 L+
BI/Power BI Analyst $70 K–97 K Average ₹5.8 L
BI/Power BI Consultant $126 K–160 K ₹6 L–10 L
BI Architect $115 K–123 K ~₹15.9 L

Salary trends for Power BI roles are rising 10–15% YoY, driven by demand in data analytics and Gen AI integration.

Power BI leverages Generative AI and automation to simplify and enhance data analysis. With features like natural language queries, smart narratives, and Microsoft Copilot, users can generate insights, visuals, and reports with minimal effort.

AI-powered visuals such as key influencers and forecasting automate complex analysis, while integration with Power Automate and RPA tools streamlines workflows and report distribution.

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Everything is going to be connected to the cloud and data. All of this will be mediated by software. - Satya Nadella, Microsoft CEO
Data is a precious thing and will last longer than the systems themselves. - Tim Berners-Lee, Inventor of the World Wide Web

Career Transitions

55% Average Salary Hike

45 LPA Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet Your Mentors

10+ Skills Covered

Connecting to Diverse Data Sources

Cleaning and Transforming Data with Power Query

Building Robust Data Models in Power BI

Creating Calculations with DAX Expressions

Utilizing Power BI Cloud Capabilities

Mastering Advanced DAX Functions

Transforming Data Efficiently using Power Query

Designing Interactive and Dynamic Dashboards

Customizing Reports with Advanced Visuals

Using Gen AI for strong data analysis & automation

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Power BI Course Fees

Online Classroom Preferred

Weekend (Sat-Sun)

28 Jun 2025 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

01 Jul 2025 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

06 Jul 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

12 Jul 2025 08:00 PM - 11:00 PM
₹ 22,743 ₹17,043 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

EMI Partner

The credit facility is provided by a third-party financing company and any arrangement with such financing companies is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Power BI Course Syllabus

Live Course Self-Paced

Module 1 - Introduction to Power BI

Preview

In the first module of this Course, you will learn the basics of Power BI

  • Introduction to Business Intelligence (BI)
  • Stages of the BI Lifecycle
  • Real-world Use Cases of BI
  • Comparison of Popular BI Tools
  • Understanding Data Warehousing Concepts
  • What is Power BI?
  • Why Choose Power BI for BI Projects?
  • Exploring Key Power BI Components
  • Power BI Licensing & Pricing Structure
  • Fundamental Building Blocks of Power BI
  • Architecture Overview of Power BI
  • Power BI vs Tableau vs QlikView
  • Getting Started with Power BI Desktop
  • Installing Power BI Desktop
  • Key Features of the Power BI Workflow
  • Step-by-Step Process to Build Reports in Power BI

Hands-on Exercise –

  1. Build a basic Power BI Dashboard
  2. Source data from a public web source
  3. Publish the report to Power BI Cloud
  4. Create Pivot Tables (Power Tables) for data insights
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In the second module of this Certification, you will learn the basics of data extraction

  • Introduction to Power BI Desktop
  • Understanding Various Data Sources in Power BI
  • Using File-Based Sources (Excel, PDF, CSV, etc.)
  • Working with SaaS Connectors (e.g., Salesforce, Google Analytics)
  • Extracting Data from Folders & Relational Databases
  • Integrating Azure SQL Database & Other SQL Sources
  • Connecting to Analysis Services
  • Utilizing Additional Sources (OData, Web, SharePoint, etc.)
  • Using Python and R Scripts in Power BI
  • Getting Started with Power Query Editor
  • Exploring the Advanced Editor

Hands-on Exercise –

  1. Connect to a database and retrieve structured data
  2. Import data from Excel files for quick visualizations
  3. Establish a connection to SQL Server
  4. Integrate with SQL Azure
  5. Connect to Analysis Services for multidimensional insights
  6. Work with Power Query Editor for data transformation
  7. Connect to Hadoop and perform exploratory analysis
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  • Shaping Data Using Power Query Editor
  • Formatting and Structuring Imported Data
  • Applying Data Transformations
  • Understanding Power BI Data Types
  • Data Profiling for Quality Checks
  • Naming Conventions & Best Practices
  • Creating Keys for Data Joins
  • Using Parameters for Dynamic Queries
  • Merge Queries for Consolidated Data
  • Append Queries for Data Union
  • Using Group By for Aggregation
  • Managing Applied Steps in Query Settings
  • Duplicate vs. Reference Tables
  • Transposing Rows and Columns
  • Using the Fill Operation (Down/Up)
  • Pivot and Unpivot Transformations
  • Creating Custom Columns
  • Using Conditional Columns for Logic
  • Replacing Values in Tables
  • Splitting Column Values
  • Moving, Renaming, and Sorting Columns
  • Detect Data Type, Count & Reverse Rows
  • Promoting Rows as Column Headers
  • Creating Hierarchies for Drill-Down Reports
  • Introduction to M Query Language

Hands-on Exercise –

  1. Install Power BI Desktop and configure the environment
  2. Use Power Query Editor to perform basic shaping
  3. Write and apply M Query transformations
  4. Transpose a table and manipulate structure
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  • Introduction to Data Relationships
  • Creating and Managing Relationships Between Tables
  • Understanding Cardinality in Power BI Models
  • Cross-Filter Direction: Single vs. Both
  • Working with Inactive Relationships
  • Introduction to DAX (Data Analysis Expressions)
  • Why DAX is Essential for Power BI Modelling
  • DAX Syntax and Expression Structure
  • Commonly Used DAX Functions
  • Understanding Row and Filter Context in DAX
  • Creating Calculated Columns with DAX
  • Building Measures Using DAX
  • Using DAX to Create Calculated Tables
  • Exploring Table, Logical, Text, and Iterator Functions
  • Time Intelligence Functions (YTD, QTD, MTD)
  • Cumulative Totals, Rankings, and Group Calculations
  • Date and Time-Based DAX Functions
  • Diagnosing Poorly Performing Measures and Relationships
  • Exploring Advanced DAX Techniques and Patterns

Hands-on Exercise –

  1. Create a Power Pivot model with multiple related tables
  2. Apply filters to control visual and data-level interactions
  3. Use advanced DAX functions, including date and time intelligence
  4. Embed Power Pivot models directly into Power BI Desktop
  5. Write DAX queries to build calculated columns, measures, and tables.
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  • Deep Dive into Power BI Data Visualization
  • Exploring Power View and Power Map
  • Key Data Visualization Techniques
  • Optimizing Page Layout and Formatting
  • Power BI Desktop Visualization Overview
  • Formatting and Customizing Visuals
  • Visualization Interactivity and Customization
  • Creating Custom Visuals in Power BI
  • Top-Down and Bottom-Up Analytics
  • Drill-Down Functionality
  • Drill-Through for Detailed Insights
  • Page Navigation in Power BI
  • Using Bookmarks for Navigation and Reports
  • Selection Pane for Visual Management
  • Comparing Volume and Value-Based Analytics
  • Combination Charts (Dual-Axis Charts)
  • Using the Filter Pane for Data Segmentation
  • Creating and Using Slicers
  • Leveraging Hierarchies in Drill-Down Analysis
  • Setting Corporate Themes for Consistency
  • Creating Reusable Power BI Templates
  • Mastering Power BI Visualization Best Practices
  • Using the Performance Analyzer to Optimize Reports
  • Power BI Q&A (Natural Language Query Visual)
  • Syncing Slicers Across Multiple Visuals
  • Adding Tooltips and Custom Tooltips
  • Tables and Matrix Visuals
  • Conditional Formatting for Enhanced Visuals
  • Creating Waterfall, KPI, Donut, and Scatter Charts
  • Geographical Data Visualization Using Maps

Hands-on Exercise –

  1. Create Power View and Power Map for visual storytelling
  2. Format and customize visuals for polished reports
  3. Deploy Power View on SharePoint and Excel
  4. Implement top-down and bottom-up analytics strategies
  5. Build Power View reports, charts, and scorecards
  6. Add custom visuals to enhance reporting
  7. Authenticate and embed Power BI dashboards in web applications
  8. Categorize, filter, and sort data using Power View
  9. Create business and date hierarchies
  10. Resolve common hierarchy issues in Power BI models
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  • Introduction to Power BI Service
  • Exploring Workspaces in Power BI
  • Understanding Dashboards in Power BI
  • Creating and Configuring Dashboards
  • Customizing Dashboard Themes
  • Reports vs. Dashboards: Key Differences
  • Building Workspace Apps for Collaboration
  • Sharing Reports and Dashboards
  • Configuring Subscriptions and Data Alerts
  • Creating Paginated Reports
  • Introduction to Power Q&A
  • Asking Questions Using Natural Language Queries
  • Getting Insights in Charts, Graphs, and Data Discoveries
  • Configuring Custom Questions for Q&A (e.g., FAQs)
  • Building Ad-Hoc Analytics with Power BI
  • Power Q&A Best Practices for Efficient Queries
  • Using Quick Insights for Immediate Data Discovery
  • Configuring Subscriptions, Alerts, and Usage Statistics
  • Designing Reports in Power BI Service
  • Collaborating with Power BI Service Features
  • Implementing Row-Level Security (RLS)
  • Introduction to Paginated Reports
  • Exploring Power BI Report Server

Hands-on Exercise –

  1. Write queries using natural language to interact with your data
  2. Get answers in the form of charts and graphs from your queries
  3. Build ad-hoc analytics reports dynamically from your data
  4. Pin tiles and ranges to dashboards for quick access and visual tracking.
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  • Understanding Power BI Desktop Settings
  • Aggregating Data from Multiple Data Sources
  • Configuring Power BI Service Settings
  • Exploring the Power BI Admin Portal
  • Power BI Administration Activities
  • Analysing Power BI Usage and Activity
  • Introduction to Office 365 Admin Activities
  • Overview of Data Gateway in Power BI
  • Installing and Configuring Data Gateways
  • Scheduling Auto Data Refresh for Reports
  • Managing Groups, Row-Level Security, Datasets, Reports, and Dashboards
  • Real-Time Data Analysis Using Direct Connectivity
  • Direct Query vs. Import Mode in Power BI

Hands-on Exercise –

  1. Configure Power BI Desktop settings for optimal performance
  2. Aggregate data from various sources for integrated reporting
  3. Set up Power BI Service settings for cloud deployment
  4. Explore the Power BI Admin Portal and its functionality
  5. Monitor and manage Power BI usage analysis
  6. Install and configure a Data Gateway for hybrid solutions
  7. Schedule auto data refresh for real-time reporting
  8. Implement row-level security and manage report access
  9. Test Direct Query and Import Mode for data analysis
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  • Introduction to embedded Power BI
  • Create embedded code
  • Manage embedded code
  • Integration of Power BI in SharePoint
  • Introduction of Power BI API
  • Power BI embedded playground
  • Introduction to Power BI Mobile
  • Creating mobile-based reports and dashboards
  • Optimizing report for Power BI mobile app
  • Features of Power BI mobile app
  • Introduction of integrating Power BI & Excel
  • Power BI Analyse in Excel

Hands-on Exercise –

  1. Design Power BI reports for mobile app
  2. Power BI embedded demo
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Coming to the last module of this Power BI Certification Course, you will learn advanced Power BI and Power BI Premium.

Hands-on Exercise –

  1. Demo of data flow
  2. Demo of deployment pipelines
  3. Demo of incremental load of data in Power BI
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  • Introduction to GenAI and its integration with Power BI
  • Using Power BI Copilot for report generation and data analysis
  • Enhancing dashboards with AI-generated summaries and insights
  • Automating data storytelling with natural language narratives
  • Real-world use cases of GenAI in business intelligence
  • Best practices for using GenAI features responsibly

Hands-on Exercise

  1. Use Power BI Copilot to generate a summary for a sales dashboard
  2. Add AI-generated insights to a marketing performance report
  3. Compare manual vs. AI-assisted dashboard development
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Power BI Training Projects

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Microsoft Power BI Certification

With this program you will earn course completion certification from Microsoft along with Intellipaat & NSDC certificate. These certificates are recognized by Industries and helps the learner to showcase their Power BI skills to future employers. Intellipaat has a vast network of +3100 hiring partners.

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Power BI Course FAQs

Why should I learn Power BI from Intellipaat?

Learning Power BI online from Intellipaat provides a clear advantage edge with a blend of industry-relevant curriculum, expert-led instructors, and hands-on projects.

This Power BI Certification course focuses on practical applications, ensuring you can apply your knowledge in real-world scenarios, making you job-ready upon completion.

Leading global companies including Microsoft, Dell, Google, Adobe, Oracle, Salesforce, and many more are actively recruiting Power BI professionals.

Yes, beginners can take this Power BI course. No prior experience is needed, as the course starts with the basics and gradually covers advanced topics, making it suitable for both freshers and professionals.

Yes, this course is aligned with the PL-300 exam and covers all key topics to help you prepare effectively.

The PL-300: Microsoft Power BI Data Analyst exam validates your ability to transform business data into actionable insights using Power BI. It assesses skills in data preparation, modelling, visualization, and deploying self-service analytics solutions. Earning this certification demonstrates your capability to collaborate with stakeholders and deliver data-driven solutions aligned with business needs.

The Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification is issued by Microsoft. It remains valid for one year and can be renewed annually through a free online assessment on Microsoft Learn.

The PL-300 exam tests your hands-on expertise across four major domains:

  1. Prepare Data (15–20%)
    • Identify and connect to data sources
    • Clean, transform, and load data
    • Perform data profiling
  2. Model Data (30–35%)
    • Design and create data models
    • Perform DAX calculations
    • Optimize model performance
  3. Visualize and Analyse Data (25–30%)
    • Create dashboards and reports
    • Apply filters and slicers
    • Enhance reports for usability and storytelling
    • Use AI visuals and Q&A features
  4. Deploy and Maintain Assets (20–25%)
    • Manage datasets, reports, and workspaces
    • Configure security (Row-Level Security)
    • Promote and certify datasets
    • Schedule data refresh and manage sharing permissions

(Note: The skill weightage is updated periodically by Microsoft and should be checked on the official PL-300 exam page.)

The course is taught by industry professionals and Microsoft certified professionals with extensive, real-world Power BI and data analytics experience. Instructors are carefully selected through a rigorous vetting process that considers their technical expertise, teaching skills, and relevant certifications—ensuring high-quality, practical learning insights.

The course includes industry-relevant projects like HR analytics, sales performance dashboards, customer segmentation, and outlier detection. These hands-on labs help you apply Power BI skills to real business scenarios.

Yes, you’ll receive placement assistance, including resume building, interview preparation, and access to job opportunities through Intellipaat’s hiring partners.

Yes, we include a dedicated PL-300 practice test with our Power BI training. These tests simulate the actual exam format and help you become familiar with question patterns, exam difficulty, and time management.

The course fee does not include the PL-300 Certification Exam.

The cost of Exam PL-300: Microsoft Power BI Data Analyst is $165 USD for the US and ₹4800 INR for India.

Intellipaat offers certification programs in Business Intelligence tools like Tableau, MSBI,  Informatica, SQL, etc.

Intellipaat has plenty of free online learning materials to help you understand the basics of Power BI before joining the course, such as: What is Power BI, Power BI tutorial, and Power BI interview questions.

Yes, as per our refund policy, once the enrolment is done, no refund is applicable.

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