Live Course Module: Power BI Course for Data Analytics

Total Duration: 30 Hours (5 Weeks)

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Week 1: Introduction to Power BI and Data Analytics (6 Hours)

• Topics:

  • What is Power BI? Components and Architecture

  • Installing Power BI Desktop and Overview of the Interface

  • Understanding the Power BI Ecosystem (Desktop, Service, Mobile)

  • Connecting Power BI to various data sources (Excel, CSV, SQL, Web)

  • Basics of Data Visualization and BI concepts

• Outcome:
  Learners will understand Power BI fundamentals, interface navigation, and initial data connection setup.

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Week 2: Data Preparation and Transformation (6 Hours)

• Topics:

  • Power Query Editor Overview

  • Data cleaning and transformation (Remove duplicates, nulls, replace values)

  • Merging and appending queries

  • Using Power Query functions and parameters

  • Data modeling fundamentals and relationships between tables

• Outcome:
  Students will prepare and clean raw data for analytics using Power Query and establish relational data models.

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Week 3: Data Modeling and DAX Fundamentals (6 Hours)

• Topics:

  • Introduction to Data Modeling concepts (Star & Snowflake Schemas)

  • Calculated Columns, Measures, and Hierarchies

  • Introduction to DAX (Data Analysis Expressions)

  • Basic DAX functions: SUM, COUNT, AVERAGE, CALCULATE, FILTER

  • Time intelligence functions in DAX

• Outcome:
  Learners will understand how to build robust data models and create analytical measures using DAX.

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Week 4: Data Visualization and Report Building (6 Hours)

• Topics:

  • Creating visuals: Bar, Line, Pie, Map, Funnel, Matrix, Cards

  • Formatting and customizing visuals

  • Using slicers, filters, and bookmarks

  • Drill-through and drill-down functionality

  • Designing interactive reports and dashboards

• Outcome:
  Learners will design professional, interactive Power BI reports with clear visual storytelling.

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Week 5: Power BI Service, Sharing & Real-world Projects (6 Hours)

• Topics:

  • Publishing reports to Power BI Service

  • Creating and managing dashboards online

  • Data refresh, gateways, and scheduled updates

  • Power BI Apps, Workspaces, and Collaboration

  • Case Study 1: Sales Performance Analysis

  • Case Study 2: Financial Data Reporting

• Outcome:
  Students will deploy and share Power BI dashboards, collaborate in the cloud, and perform real-world analytics tasks.

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🎯 Final Deliverables & Outcomes

• Build complete end-to-end data analytics workflows using Power BI.

• Clean, transform, and model data from multiple sources.

• Create insightful, interactive dashboards and publish them to Power BI Service.

• Apply DAX for advanced calculations and business intelligence reporting.