Power BI
The Power BI Training program is designed to help learners develop practical skills in data analysis, data visualization, business intelligence, and interactive dashboard development.
This course provides comprehensive training in Microsoft Power BI, covering data extraction, data cleaning, data transformation, data modeling, DAX calculations, interactive reports, dashboards, and publishing solutions.
Learners will work with real-world datasets and learn how to transform raw data into meaningful business insights that support effective decision-making.
Who Can Join This Course?
This course is suitable for:
- Students & Fresh Graduates
- Working Professionals
- Business Analysts
- Data Analysts
- MIS Executives
- Reporting Professionals
- Finance Professionals
- HR Professionals
- Marketing Professionals
- Sales Professionals
- Professionals looking to transition into Data Analytics
- Anyone interested in Business Intelligence and Data Visualization
In this course, learners will gain hands-on experience with Power BI Desktop, Power Query, DAX, data modeling, visualization, and Power BI Service.
The training starts with Power BI fundamentals and progresses to advanced data transformation, relationship management, calculated columns, measures, time intelligence, dashboard development, and report publishing.
Learners will also understand how to connect Power BI with different data sources such as Excel, CSV, SQL Server, and other business data sources.
The course focuses on practical implementation and helps learners build professional, interactive dashboards suitable for real-world business requirements.
Why Choose Our Power BI Training?
- Industry-oriented curriculum
- Hands-on practical training
- Real-world datasets and projects
- Beginner-friendly learning approach
- Practical Power Query & DAX training
- Data modeling and visualization techniques
- Interactive dashboard development
- Power BI Service training
- Excel & SQL integration
- End-to-end capstone project
- Career-focused learning approach
- Power BI Fundamentals
Understand the Power BI ecosystem, interface, workflow, and business intelligence concepts. - Data Connectivity
Connect Power BI with Excel, CSV, SQL Server, and various other data sources. - Data Cleaning & Transformation
Clean, structure, and transform raw datasets using Power Query. - Data Modeling
Build efficient data models using relationships, tables, and schemas. - DAX & Calculations
Create calculated columns, measures, KPIs, and advanced business calculations using DAX. - Interactive Visualizations
Create professional charts, graphs, cards, tables, maps, and interactive reports. - Dashboard Development
Design dynamic dashboards that provide meaningful business insights. - Power BI Service
Publish, share, and manage reports and dashboards using Power BI Service. - Advanced Analytics
Apply advanced calculations, time intelligence, filters, and analytical techniques. - Real-Time Business Reporting
Develop business-focused reports and dashboards using real-world datasets.
- By the end of this course, learners will be able to:
- Understand Business Intelligence and data visualization concepts.
- Navigate and work efficiently with Power BI Desktop.
- Connect Power BI to multiple data sources.
- Import and manage data from Excel, CSV, SQL Server, and other sources.
- Clean and transform data using Power Query.
- Build effective data models and relationships.
- Understand and write DAX expressions.
- Create calculated columns and measures.
- Develop KPIs and business calculations.
- Create interactive reports and dashboards.
- Apply filters, slicers, drill-downs, and drill-throughs.
- Publish and share reports using Power BI Service.
- Analyze business data and generate actionable insights.
- Build professional Power BI projects using real-world datasets.
Learners are recommended to have:
- Basic computer knowledge.
- Basic understanding of Microsoft Excel.
- Basic knowledge of data analysis concepts.
- Basic understanding of databases is helpful but not mandatory.
- No prior Power BI experience is required.
Job Roles / Industry Positions
- Power BI Developer
- Power BI Analyst
- BI Analyst
- Business Intelligence Developer
- Business Intelligence Analyst
- Data Analyst
- Business Analyst
- Reporting Analyst
- MIS Analyst
- Data Visualization Analyst
- Dashboard Developer
- BI Consultant
- Reporting Developer
- Data Visualization Specialist
- Business Intelligence Consultant
- Junior Data Analyst
- Power BI Consultant
- Analytics Consultant
- Introduction to Business Intelligence
- Introduction to Business Intelligence
- What is Data Analytics?
- What is Data Visualization?
- Introduction to Power BI
- Power BI Components
- Power BI Desktop
- Power BI Service
- Power BI Mobile
- Understanding the Power BI Workflow
- Power BI Desktop
- Installing Power BI Desktop
- Power BI Interface
- Report View
- Data View
- Model View
- Working with Tables
- Importing Data
- Managing Queries
- Saving and Managing Power BI Files
- Connecting to Data Sources
- Excel Data
- CSV Files
- Text Files
- SQL Server
- Web Data
- Folder Data
- Multiple Data Sources
- Import vs DirectQuery
- Managing Data Connections
- Power Query
- Introduction to Power Query
- Power Query Editor
- Data Profiling
- Data Cleaning
- Removing Duplicates
- Handling Missing Values
- Changing Data Types
- Splitting Columns
- Merging Columns
- Replacing Values
- Filtering Data
- Sorting Data
- Conditional Columns
- Custom Columns
- Merge Queries
- Append Queries
- Data Transformation Techniques
- Data Modeling
- Introduction to Data Modeling
- Tables and Relationships
- Primary Keys & Foreign Keys
- One-to-One Relationships
- One-to-Many Relationships
- Many-to-Many Relationships
- Fact & Dimension Tables
- Star Schema
- Snowflake Schema
- Relationship Management
- Data Model Optimization
- Data Visualization
- Introduction to Power BI Visuals
- Bar Charts
- Column Charts
- Line Charts
- Pie & Donut Charts
- Area Charts
- Tables
- Matrix
- Cards
- KPI Visuals
- Funnel Charts
- Scatter Charts
- Maps
- Gauge Charts
- Slicers
- Formatting Visuals
- Power BI Reports
- Creating Reports
- Report Page Design
- Visual Interactions
- Filters
- Slicers
- Drill Down
- Drill Up
- Drill Through
- Bookmarks
- Tooltips
- Conditional Formatting
- Report Navigation
- Interactive Report Design
- DAX Fundamentals
- Introduction to DAX
- DAX Syntax
- Calculated Columns
- Measures
- Calculated Tables
- Basic DAX Functions
- SUM
- AVERAGE
- COUNT
- DISTINCTCOUNT
- MIN & MAX
- IF
- SWITCH
- Logical Functions
- Text Functions
- Date Functions
- Advanced DAX
- CALCULATE
- FILTER
- ALL
- ALLEXCEPT
- RELATED
- SUMX
- AVERAGEX
- COUNTX
- Iterator Functions
- Context Transition
- Row Context
- Filter Context
- Advanced Measures
- Dynamic Calculations
- Time Intelligence
- Date Tables
- Date Functions
- Year-to-Date (YTD)
- Month-to-Date (MTD)
- Quarter-to-Date (QTD)
- Previous Year Analysis
- Previous Month Analysis
- Year-over-Year (YoY)
- Month-over-Month (MoM)
- Period Comparison
- Trend Analysis
- Advanced Power BI Features
- Drill Through
- Bookmarks
- Tooltips
- What-If Parameters
- Field Parameters
- Dynamic Titles
- Dynamic Visuals
- Conditional Formatting
- Custom Visuals
- Interactive Dashboard Techniques
- Power BI Service
- Introduction to Power BI Service
- Publishing Reports
- Workspaces
- Dashboards
- Reports & Datasets
- Sharing Reports
- Collaboration
- Scheduled Data Refresh
- Data Gateway
- Managing Published Reports
- Power BI Security
- Introduction to Power BI Security
- Row-Level Security (RLS)
- Roles
- User Access Management
- Workspace Security
- Report Sharing
- Data Access Management
- Power BI with SQL
- Introduction to SQL for Power BI
- Connecting Power BI with SQL Server
- Importing SQL Data
- Writing Basic SQL Queries
- Filtering SQL Data
- Joining Tables
- Using SQL Data for Power BI Reports
- Power BI & SQL Integration
- Excel & Power BI Integration
- Connecting Excel with Power BI
- Excel Tables
- Pivot Tables
- Power Query Integration
- Data Model Integration
- Importing Excel Data
- Creating Power BI Reports from Excel Data
- Dashboard Development
- Dashboard Planning
- Understanding Business Requirements
- Choosing the Right Visuals
- Dashboard Layout
- KPI Dashboard
- Sales Dashboard
- Finance Dashboard
- HR Dashboard
- Marketing Dashboard
- Management Dashboard
- Interactive Dashboard Development
- Real-Time Projects
Learners will work on practical projects using real-world business datasets, such as:
- Sales & Revenue Dashboard
- Financial Performance Dashboard
- HR Analytics Dashboard
- Employee Performance Dashboard
- Customer Analytics Dashboard
- Marketing Analytics Dashboard
- Inventory & Supply Chain Dashboard
- Capstone Project
Learners will complete an end-to-end Power BI project covering:
- Business Requirement Analysis
- Data Collection
- Data Cleaning
- Data Transformation
- Data Modeling
- DAX Calculations
- Report Development
- Dashboard Creation
- Data Analysis
- Business Insights
- Publishing & Presentation
After completing the course, learners can explore roles such as:
- Power BI Developer
- Power BI Analyst
- Data Analyst
- Business Intelligence Analyst
- Business Analyst
- Reporting Analyst
- MIS Analyst
- Data Visualization Analyst
- Business Intelligence Developer
- Junior Data Analyst
