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Power BI - Basics to Advanced

With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two ... Show more
Instructor
adminicmt
34 Students enrolled
4
6 reviews
  • Description
  • Curriculum
  • FAQ
  • Notice
  • Reviews

Power BI – Course Contents

Module 1: Introduction to Power BI (Basics)

  • What is Business Intelligence (BI)?
  • Overview of Power BI Ecosystem
  • Power BI Desktop vs Power BI Service
  • Installing & Setting up Power BI Desktop
  • Power BI Interface Tour
  • Importing Data from Excel, CSV, Web, Databases

Module 2: Data Loading & Transformation (Power Query)

  • Understanding ETL (Extract, Transform, Load)
  • Power Query Editor Overview
  • Data Cleaning Techniques
  • Remove Errors
  • Remove Duplicates
  • Replace Values
  • Split Columns
  • Merge Queries & Append Queries
  • Data Types, Filters & Sorting
  • Using Parameters in Power Query

Module 3: Data Modeling (Intermediate)

  • Star Schema vs Snowflake Schema
  • Creating Relationships
  • Cardinality & Cross Filter Direction
  • Creating Date Table
  • Understanding Fact & Dimension Tables
  • Model Optimization Best Practices

Module 4: DAX (Data Analysis Expressions)

  • Basic DAX:
    • Calculated Columns vs Measures
    • Basic Functions: SUM(), COUNT(), AVERAGE(), DISTINCTCOUNT()
    • Text Functions, Logical Functions
  • Intermediate DAX:
    • Time Intelligence Functions
    • CALCULATE(), FILTER(), ALL(), ALLEXCEPT()
    • IF, SWITCH, RELATED, RELATEDTABLE
  • Advanced DAX:
    • Advanced Time Intelligence
    • Ranking Functions
    • Dynamic Measures
    • Virtual Tables
    • Troubleshooting DAX

Module 5: Data Visualization (Reports)

  • Visual Types & Use Cases
  • Tables, Matrices, Card Visuals
  • KPI & Gauge Charts
  • Bar Charts, Line Charts, Pie & Donut Charts
  • Slicers & Filters
  • Drill-through, Drill-down & Tooltips
  • Bookmarks & Page Navigation
  • Custom Visuals

Module 6: Power BI Service (Online)

  • Publishing Reports to Power BI Service
  • Creating & Managing Workspaces
  • Dashboards vs Reports
  • Power BI App
  • Sharing Reports & Permissions
  • Data Alerts

Module 7: Data Refresh & Automation

  • Scheduled Refresh
  • Incremental Refresh
  • Dataflow Introduction

Module 8: Security

  • Testing Roles

Module 9: Advanced Features

  • What-If Parameters
  • Field Parameters (Dynamic Visuals)
  • Drillthrough & Tooltip Pages
  • Sync Slicers
  • AI Visuals (Key Influencers, Decomposition Tree)
  • Python & R Integration (Optional)

Module 10: Exporting & Integration

  • Export to PDF, PPT, Excel

Module 11: Final Project

  • Real-Time Business Dashboard
  • Sales, Finance, HR or Operations Dashboard (Choose any one)
  • Complete end-to-end workflow from raw data to dashboard
FAQ 1
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FAQ 2
Faq Content 2

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