Basics of Power BI

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About Course

The “Basics of Power BI” course by Pankaj Namekar is a structured introductory program designed to transform raw data into actionable business insights. Pankaj Namekar, a seasoned Power BI Consultant and 6X Microsoft Certified professional with over 6 years of experience, focuses on practical, job-relevant skills over mere theory.
 
Course Overview & Core Pillars
The course typically follows a roadmap that can be mastered in approximately 15 days, moving from fundamental interface navigation to complex data storytelling:
  • Power BI Ecosystem Fundamentals: Understanding the differences and workflows between Power BI DesktopPower BI Service, and Power BI Mobile.
  • Data Cleaning & Power Query: Mastering the “Power Query Editor” to transform messy datasets by removing duplicates, merging queries, and adjusting data types.
  • Data Modeling: Learning how to build efficient relationships using primary and foreign keys, star schemas, and cardinality.
  • DAX (Data Analysis Expressions): An introduction to essential business calculations, including measures, calculated columns, and time-intelligence functions like CALCULATESUM, and FILTER.
  • Interactive Visualization: Creating compelling dashboards using bar/line charts, KPI cards, maps, and slicers to tell a clear data story.
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What Will You Learn?

  • Data Connection and Preparation: You will learn to import data from various sources like Excel, SQL databases, or cloud services. You will also master Power Query to clean and "shape" messy data by removing duplicates, splitting columns, and fixing errors.
  • Data Modeling: This involves creating relationships between different tables to build a cohesive data structure. You will learn how to design efficient models, such as using a Star Schema, to ensure your reports are fast and accurate.
  • DAX (Data Analysis Expressions): You will be introduced to DAX, the formula language of Power BI. Beginners typically start with basic functions like SUM, AVERAGE, and COUNTROWS to create custom calculations and measures.
  • Interactive Visualization: You will learn how to choose and design the right charts—such as bar charts, line graphs, and maps—to tell a clear data story. This includes adding interactive elements like slicers, filters, and drill-throughs to explore data deeply.
  • Publishing and Collaboration: Finally, you will learn to use the Power BI Service to publish your reports to the cloud. You will practice sharing interactive dashboards with team members and setting up automated data refreshes.

Course Content

Introduction to Power BI
In a Power BI basics course, materials typically focus on transforming raw data into interactive, professional dashboards. Key materials included are: Software and Environment Setup: Instructions and links for installing Power BI Desktop, the primary authoring tool, along with access to the Power BI Service for cloud-based sharing. Sample Datasets and Connectors: Practice files in various formats—such as Excel (.xlsx), CSV, and JSON—to teach students how to connect to and import data from different sources. Data Transformation Guides (Power Query): Materials detailing how to use the Query Editor to clean, shape, and "transform" messy data into a usable structure without complex coding. Data Modeling and DAX Worksheets: Resources for building relationships between tables (Star and Snowflake schemas) and writing basic DAX (Data Analysis Expressions) formulas for custom calculations. Interactive Visuals and Templates: Libraries of built-in and custom visualizations—including bar charts, maps, and slicers—along with hands-on exercises for designing interactive, storytelling reports.

  • 1. Power BI Introduction

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