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Course Details

Microsoft Power BI

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Assessment

Offline

Duration

2 Months

Certificate

Collaboration
Enroll

Power BI is Microsoft’s powerful Business Intelligence (BI) tool used for data visualization, analytics, and reporting. It helps businesses turn raw data into meaningful insights through interactive dashboards and reports.

Course Outline includes

  • Configuration & Settings
  • Visualizations Types
  • Graphical Appearanc
  • Data Preparation
  • Transformation
  • Data Modeling with DAX
  • Data Combining & Shaping
  • Dashboard
  • Preparation
  • Case Studies
  • Basic computer literacy
  • Familiarity with Excel or spreadsheet tools
  • Preferred Background (for faster learning):
  • Professionals in Data Analysis, Business Analysis or Reporting roles
  • IT professionals, Business users or project managers
  • Students in Computer Science, Statistics, or Finance
    • No programming background is required, though some experience with Excel formulas and pivot tables is helpful.
  • Data-Driven Decision Making: Learn to build dashboards that support real-time decision-making.
  • Career Opportunities: Opens roles such as Power BI Developer, Business Intelligence Analyst, Data Analyst.
  • User-Friendly Tool: Drag-and-drop interface with seamless integration with Excel and Microsoft 365.
  • In-Demand Skill: Power BI is widely adopted across industries including finance, marketing, sales, healthcare, and logistics.
  • Microsoft Certification Support: Prepares for exams like PL-300: Microsoft Power BI Data Analyst Associate.
    Power BI Interface & Workflow
  • Understand Power BI Desktop, Service, and Mobile
  • Navigate report and data views
    • Data Connection and Transformation
  • Connect to files, databases, and web data
  • Clean, reshape, and transform data using Power Query Editor
    • Data Modeling
  • Create relationships between tables
  • Use DAX for calculated columns and measures
    • Data Visualization
  • Build and customize interactive reports
  • Use filters, slicers, drilldowns, and tooltips effectively
    • Dashboard Creation & Publishing
  • Design dashboards in Power BI Service
  • Share and publish reports to Power BI Workspace
    • Advanced Analytics (optional modules)
  • Apply time-intelligence functions
  • Implement Row-Level Security (RLS)
  • Integrate AI visuals (e.g., Key Influencers, Decomposition Tree)