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Why Study Power – Bi?

Power BI is a powerful data visualization and business intelligence tool that helps analyze and transform data into actionable insights. It is widely used in data analytics, reporting, and decision-making, making it a valuable skill for a successful career in data science and business analytics!

Benefits of Learning Power – Bi

✨ Easy Data Visualization – Create interactive and insightful reports.
✨ High Demand Skill – Essential for data analytics and business intelligence roles.
✨ User-Friendly Interface – Simple drag-and-drop features for data analysis.
✨ Integration with Multiple Data Sources – Connects with Excel, SQL, and cloud services.
✨ Improves Decision-Making – Helps businesses analyze and interpret data effectively.
✨ Cloud-Based Access – Access reports from anywhere using Power BI Service.
✨ Career Growth – Opens opportunities in data analytics, reporting, and consulting.

Future Scope of Learning Power – Bi

✨ Growing Demand – Businesses increasingly rely on Power BI for data-driven decisions.
✨ Integration with AI & Machine Learning – Enhances predictive analytics capabilities.
✨ Cloud Expansion – Power BI’s integration with Azure and other loud services is expanding.
✨ Automation & Real-Time Analytics – Automates data insights for etter decision-making.
✨ Business Intelligence Growth – Essential for industries like finance, healthcare, and retail.
✨ High-Paying Career Opportunities – Roles in data analysis, business intelligence, and consulting.
✨ Enterprise Adoption – Companies of all sizes are investing in Power BI for reporting and analytics.

Kickstart Your Career with Power – Bi

With its endless applications and growing demand, Power BI is the key to a successful data analytics career. Enroll in a Power BI course today and step into a world of innovation and opportunity!

key features

Course Duration : 40 hours

Intensive, focused training designed to quickly upskill you in a short timeframe.

100% Job-Oriented Training

Curriculum tailored to industry requirements, ensuring you gain the skills employers are looking for.

Industry Expert Faculties

Learn from seasoned professionals with real-world experience.

Flexible Demo Class Available

Opportunity to attend a demo session and experience the training style before enrolling.

Completed 400+ Batches

Proven track record with hundreds of successful batches, demonstrating program reliability and effectiveness.

Certification Guidance

Support throughout your journey to help you earn relevant certifications that boost your career.

Live Practical Sessions (if needed)

Hands-on, interactive sessions to reinforce learning and apply concepts in real-time.

Peaceful Environment

A conducive learning atmosphere that helps you focus and maximize your learning potential.

Syllabus of Power – Bi

  • Introduction to Business Intelligence (BI)
  • Stages of business intelligence (BI)
  • Use cases of BI
  • Various BI tools
  • Overview of Data warehouse & concepts
  • Introduction to Power BI
  • Why Power BI
  • Power BI Components
  • Power BI pricing structure
  • Building blocks of Power BI
  • Architecture of Power BI
  • Power BI vs Tableau vs QlikView
  • Introduction of Power BI Desktop
  • Installation of Power BI Desktop
  • The key features of Power BI workflow
  • Process of creating reports in Power BI
  • Overview of Power BI desktop
  • Data sources in Power BI
  • Using files (excel, pdf, csv, etc.) as a data source
  • Using SaaS connectors
  • Extracting data from folders, and databases
  • Working with Azure SQL database and database sources
  • Connecting to Analysis Services
  • Other data sources (OData, web, SharePoint etc.)
  • Python & R script in Power BI
  • Introduction of power query editor
  • Advance editor
  • Query dependency editor
  • Shaping data using Power Query Editor
  • Formatting data
  • Transformation of data
  • Understanding of Data types
  • Data profiling for data quality check
  • Naming conventions & best practices to consider
  • Identify and create appropriate keys for joins
  • Working with Parameters
  • Merge Query
  • Append Query
  • Group by of data (aggregation of data)
  • Applied steps (query settings)
  • Duplicate & Reference tables
  • Transpose of data
  • Fill
  • Pivot & Un-pivot of data
  • Custom columns
  • Conditional columns
  • Replace data from the tables
  • Split columns values
  • Move columns & sorting of data
  • Detect data type, count rows & reverse rows
  • Promote rows as column headers
  • Hierarchies in Power BI
  • M query
  • Introduction of relationships
  • Creating relationships
  • Cardinality
  • Cross filter direction
  • Use of inactive relationships
  • Introduction of DAX
  • Why DAX is used
  • DAX syntax
  • DAX functions
  • Context in DAX
  • Calculated columns using DAX
  • Measures using DAX
  • Calculated tables using DAX
  • Learning about table, information, logical, text, iterator
  • Time intelligence functions (YTD, QTD, MTD)
  • Cumulative values, calculated tables, and ranking and rank over groups
  • Date and time functions
  • identify poorly performing measures, relationships, and visuals
  • DAX advanced features
  • Deep dive into Power BI data visualization
  • Understanding Power View and Power Map
  • Data visualization techniques
  • Page layout & Formatting
  • Power BI Desktop visualization
  • Formatting and customizing visuals
  • Visualization interaction
  • Custom visualization in Power BI
  • Top-down and bottom-up analytics
  • Drill down
  • Drill through
  • Page navigations
  • Bookmarks
  • Selection pane to show/hide visuals
  • omparing volume and value-based analytics
  • Introduction to Power BI Service
  • Introduction of workspaces
  • Dashboard
  • Creating & Configuring Dashboards
  • Dashboard theme
  • Reports vs Dashboards
  • Building workspace Apps
  • Sharing reports & dashboards
  • configure subscriptions and data alerts
  • Paginated report
  • Introduction to Power Q & A
  • Ask questions about your data using Natural Query Language
  • Getting answers in the form of charts, graphs, and data discovery methodologies
  • Configure custom questions for Q&A like FAQ
  • Ad-hoc analytics building
  • Power Q&A best practices
  • Quick Ins
  • Subscribe, Alerts, Usage statics, Related content
  • Design reports on Power BI Service
  • Collaboration using Power BI Service
  • Getting to understand Power BI Desktop settings
  • Aggregating data from multiple data sources
  • Power BI Service settings
  • Power BI Admin Portal
  • Administration activities
  • Power BI usage analysis
  • Introduction of Office 365 admin activities
  • Introduction of Data Gateway
  • Installation & Configuration of data gateways
  • Scheduling auto data refresh
  • Managing groups, row-level security, datasets, reports, and dashboards
  • Real time data analysis using Direct Connectivity
  • Direct Query vs Import Mode
  • 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 & dashboards
  • Optimizing report for Power BI mobile app
  • Features of Power BI mobile app
  • Introduction of integrating Power BI & Excel
  • Power BI Analyze in Excel
  • Introduction of Power BI Premium
  • Power BI Premium per user
  • Power BI Premium features
  • Introduction to Data Flow
  • Create Data Flow
  • Advantages of Data Flow
  • Create reports using Data Flow
  • Introduction to Power BI Deployment Pipelines
  • Create Deployment Pipelines
  • Benefits of Deployment Pipelines
  • Introduction of Sensitivity Labels
  • Introduction of Power BI Goals feature
  • Incremental data load in Power BI
  • use AI visuals
  • use the Forecast feature
  • Power BI best practice rules to improve performance

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