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Microsoft Power BI (Data Analyst) – Level – 4 (Expert)

Microsoft Power BI (Data Analyst) - Level - 4 (Expert)

  • Bring your own laptop.
  • Knowledge of Level 1 , Level 2, Level 3 is required.

Note: Training is completely practical on real world industrial datasets to achieve mastery for an international market.

Microsoft Power BI is the industry-leading business intelligence platform with more than 115 million users — and its growing. In 2020, the Power BI market represented more than $20 billion, and is estimated to double by 2026. 50,000 companies worldwide use Power BI to clean, transform, model, and visualize their data. Power BI usage has been growing quickly, with over 80,000 open jobs on LinkedIn.
By learning Microsoft Power BI, you can accelerate your career and become a data professional. You will also get ready for Microsoft PL-300 exam (an updated version of the DA-100 exam).

  • Foreign and Local Experienced Trainers
  • Hands-on Training with Real Working Environment
  • Internship Opportunities
  • Affordable Cost
  • Continuous help to the Participants even after Training sessions via WhatsApp groups
  • Guided projects, Profile building and Specific Resume designing are also done usually during gap between two levels.

As Data Science & Data Literacy are going to be mandatory and regulatory requirements for all domains and industries, any professional belonging to Finance, HR & Admin, Audit, Supply Chain, Engineering, Computer Science, Health Care, etc. are eligible for this training.

Knowledge of Level 1 (Basic) , Level 2 (Intermediate) and Level 3 (Advanced)

Working with SQL server

  • Connect to SQL Data Sources in Power BI Desktop
  • How to import and analyze SQL Data.


  • The data flow process
  • Power BI desktop connections
  • Welcome to Power BI Services
  • Desktop vs Services

Database and more

  • Database connections
  • Storage modes
  • Exploring connections

Data Source Settings

  • Changing data source settings
  • Parameters and Incremental Refresh
  • Query parameters
  • Discovering M Language

Power Bi WEB APP

  • The Web App Interface
  • Web App Building Blocks
  • Key Differences
  • Connecting to Data Sources with the Power BI Web App
  • Connecting to Local Data
  • Connecting to Live Data
  • Connecting to Content Packs
  • Connecting to Samples

Task and Project:

  • Senior management team of WWI
  • Database management system of WWI IT department.
  • Inventory Stock Analysis Power BI Database

Final Project: Participants must make a project as their final project which will be mandatory to submit.


Course Modality

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Register for Microsoft Power BI (Data Analyst) – Level – 4 (Expert)