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Power BI

Power BI

Welcome

Power BI is a business analytics tool by Microsoft that enables users to visualize and share insights from their data. It allows for the creation of interactive dashboards and reports, facilitating data-driven decision-making through real-time analytics and seamless integration with various data sources.


Prerequisites

Prerequisites for learning Power BI include basic computer skills, familiarity with data concepts, and understanding of Excel, as these foundations enhance the learning experience with the tool.


Learning Objectives

The learning objectives of Power BI include mastering data visualization, report creation, dashboard design, and data modeling to enable effective analysis and insightful decision-making.

Course Overview

  • Overview of Power BI
  • What is Power BI?
  • Components of Power BI (Power BI Desktop, Service, Mobile)
  • Power BI vs. Traditional BI Tools
  • Setting Up Power BI Desktop
  • Installation and Interface Overview
  • Connecting to Data Sources (Excel, SQL, Web, etc.)


  • Data Import
    • Connecting to Different Data Sources
    • Import vs. Direct Query Mode
  • Data Transformation with Power Query
    • Cleaning and Shaping Data
    • Merging and Appending Queries
    • Using Filters, Pivot/Unpivot Data

  • Introduction to Data Models
    • Building Relationships Between Tables
    • Managing Relationships and Cardinality
    • Star Schema and Snowflake Schema Design
  • Creating Calculated Columns and Measures
    • DAX (Data Analysis Expressions) Basics
    • Creating Measures, Calculated Columns, and Tables

  • Creating Visuals
    • Types of Visuals (Bar, Line, Pie, Map, Table, etc.)
    • Formatting and Customizing Visuals
    • Using Slicers and Filters
  • Advanced Visualizations
    • Creating Hierarchies
    • Drill-down and Drill-through Reports
    • Using Custom Visuals from Power BI Marketplace

  • Introduction to DAX
    • Basic Functions (SUM, COUNT, AVERAGE)
    • Logical Functions (IF, SWITCH)
    • Time Intelligence (YTD, MTD, QTD)
  • Advanced DAX
    • Calculated Measures and Tables
    • Aggregation and Filter Context

  • Publishing Reports to Power BI Service
    • Overview of Power BI Service
    • Publishing Reports to the Cloud
    • Configuring Data Refresh and Scheduled Updates
  • Creating Dashboards
    • Pinning Visuals and Reports to Dashboards
    • Sharing Dashboards and Collaborating in Workspaces
    • Setting Alerts and Notifications

  • Row-level Security (RLS)
    • Implementing RLS in Power BI
    • Managing User Roles and Access Control
  • Power BI Mobile
    • Creating Mobile-friendly Reports
    • Viewing and Sharing Dashboards on Mobile

  • Integrating Power BI with Excel
    • Using Excel Data in Power BI
    • Exporting Power BI Data to Excel
  • Power BI with Azure and SQL
    • Connecting Power BI with Azure SQL Database
    • Real-time Data Streaming in Power BI

  • End-to-End Power BI Project
    • Data Import, Transformation, Modeling
    • Visualizing Data and Building Interactive Dashboards
    • Publishing and Sharing Reports

Frequently Asked Questions (FAQs)

Courses typically range from 1 to 2 Months

Roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist often require proficiency in Power BI for data analysis and reporting.

Training includes data modeling, DAX (Data Analysis Expressions), creating interactive reports, dashboard design, and data visualization techniques.

While not mandatory, having a basic understanding of data concepts and Excel can enhance the learning experience.

Yes, proficiency in Power BI significantly enhances employability and can lead to career advancement in data-driven roles.

Industries such as finance, marketing, healthcare, and retail use Power BI for data analysis, reporting, and decision-making.

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