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Microsoft Power BI Certification Training

This Microsoft Power BI course is designed to equip learners with the skills and knowledge required to analyze data and build visually stunning, interactive dashboards using Power BI – Microsoft’s leading business intelligence tool.

Through hands-on exercises, real-world case studies, and practical projects, participants will learn how to connect to various data sources, transform raw data using Power Query, model relationships, write powerful DAX formulas, and share insights across their organization using Power BI Service.

Whether you are a data analyst, business professional, manager, or aspiring BI developer, this course will provide the foundational and intermediate skills needed to turn data into actionable insights.

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🎯 What You Will Learn

Understand the Power BI ecosystem and its components

Connect to and import data from Excel, databases, and web sources

Clean and shape data using Power Query Editor

Build data models and establish relationships

Write DAX expressions for calculated fields and advanced metrics

Design professional, interactive dashboards and visualizations

Share and collaborate through Power BI Service and Workspaces

Apply Row-Level Security (RLS) for secure data access

Schedule data refreshes and maintain published reports

🛠️ Course Features

100% practical and
project-based learning

Real-world
capstone projects

Code reviews and
mentor support

Resume and GitHub
portfolio development

Lifetime access to
course materials (if online)

Certification upon
successful completion

👨 Who This Course Is For

This course is ideal for

No prior experience with Power BI is required, but familiarity with Excel and basic data concepts is helpful.

  • Data analysts and professionals working with data
  • Business users looking to automate reporting
  • Excel users transitioning to BI tools
  • Students or job seekers preparing for roles in data analysis
  • Teams aiming to improve data-driven decision making

🧰 Core Tools & Technologies Covered

Power BI Desktop

Power BI Service (PowerBI.com)

Power Query Editor (ETL)

DAX (Data Analysis Expressions)

Power BI Mobile App

Common data sources (Excel, SQL Server, Web APIs)

🧾 Prerequisites

Basic knowledge of Excel or spreadsheets

A Windows-based PC or laptop (Power BI Desktop is Windows-only)

Internet connection (for Power BI Service access)

The skills to apply for junior to mid-level developer roles

Course Duration

1 to 2 months, depending on full-time or part-time pace.

Microsoft Power BI Certification Training

🔰 Module 1: Introduction to Power BI
  • What is Power BI?
  • Components of Power BI: Desktop, Service, Mobile, Gateway
  • Power BI architecture and workflow
  • Power BI vs. traditional BI tools
  • Installing Power BI Desktop
  • Importing data from
  • Excel
  • CSV
  • SQL Server
  • Web data
  • Online services (e.g., SharePoint, Salesforce)
  • DirectQuery vs. Import mode
  • Data source credentials and privacy levels
  • Introduction to Power Query Editor
  • Basic transformations: filter, sort, rename, remove
  • Splitting columns and changing data types
  • Merging and appending queries
  • Grouping and summarizing data
  • Pivoting and unpivoting columns
  • Creating custom columns
  • Understanding tables, relationships, and schemas
  • Creating and managing relationships
  • Star schema vs. snowflake schema
  • Creating calculated columns and tables
  • Introduction to normalization and denormalization
  • DAX basics: syntax, functions, and context
  • Calculated columns vs. measures
  • Common DAX functions
  • SUM, AVERAGE, COUNT, DISTINCTCOUNT
  • CALCULATE, FILTER, RELATED
  • Time intelligence functions: YTD, QTD, MTD, SAMEPERIODLASTYEAR
  • DAX variables and best practices
  • Creating and customizing visuals
  • Bar, line, pie, table, matrix, card, map, etc.
  • Using slicers and filters effectively
  • Drill-downs, hierarchies, and tooltips
  • Creating and formatting interactive reports
  • Using bookmarks and buttons
  • Applying themes and report styling
  • Row-Level Security (RLS)
  • What-if parameters
  • Creating dynamic visuals
  • Performance optimization techniques
  • Advanced DAX techniques (e.g., iterator functions like SUMX, FILTER inside CALCULATE)
  • Publishing reports from Power BI Desktop
  • Creating dashboards and pinning visuals
  • Sharing reports and dashboards
  • Creating and managing Workspaces
  • Data refresh schedules and gateway setup
  • Report sharing, subscriptions, and permissions
  • Viewing and interacting with reports on mobile devices
  • Designing mobile-friendly layouts
  • Overview of Power BI Embedded (for developers)
  • End-to-end Power BI project
  • Importing and cleaning raw data
  • Modeling and writing DAX
  • Designing a report
  • Publishing and sharing via Power BI Service
  • Business case examples: sales analysis, HR analytics, marketing dashboard, etc.
  • Overview of PL-300 exam (Microsoft Certified: Power BI Data Analyst Associate)
  • Sample exam questions and tips
  • Resources for further learning and practice
  • Sample datasets (Excel, CSV, SQL dumps)
  • Power BI report templates
  • DAX cheat sheet
  • Power BI best practices guide
  • Practice exercises and quizzes

💼 Land job at your dream company

🪪 Course Certificate

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Official & Verified

Ideal for fast-paced learning with daily live sessions and hands-on projects

Easily Shareable

Suitable for working professionals or students balancing other commitments

Enhance Credebility

Suitable for working professionals or students balancing other commitments

Better Opportunities

Suitable for working professionals or students balancing other commitments

Industry Leading Placement

Whether you're aspiring to become a Microsoft Power BI, looking to enhance your career, or build your own end-to-end applications, this

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🎯 Comprehensive / Certification-Oriented Course (PL-300 Aligned)

Ideal For: Data analysts preparing for Microsoft Certified: Power BI Data Analyst

Total Duration: 40–60 hours

Schedule

4–8 weeks (part-time)

2–3 weeks (full-time bootcamp)

Delivery: Instructor-led or structured online learning

Includes

  • Full Power BI lifecycle
  • Advanced DAX and data modeling
  • Real-world case studies
  • Certification preparation and mock exams

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