2020 Edition | Udemy Microsoft Power Bi - A Complete Introduction

Since I cannot reproduce the proprietary video content of the specific Udemy course, I have created a comprehensive study guide and roadmap based on the standard curriculum of that specific course (taught by Maximilian Schwarzmüller and Manuel Lorenz). This guide breaks down the learning path into logical modules. You can use this as a companion checklist to track your progress or as a summary of the key concepts taught in the "Complete Introduction" course.

Guide: Microsoft Power BI – A Complete Introduction (2020 Edition) Course Goal: Take you from a complete beginner to a confident Power BI user capable of connecting data, modeling it, and creating professional dashboards. Prerequisites Checklist Before starting the video lectures, ensure you have the following installed:

Power BI Desktop: This is the primary tool used in the course. (Note: It is free, but usually requires a Windows PC). A Web Browser: For viewing the Power BI Service (app.powerbi.com). Sample Data: The course usually provides downloadable .csv or .xlsx files. Download these before starting the "Connecting Data" section.

Part 1: The Basics & Getting Started Objective: Understand the Power BI ecosystem and navigate the interface. Key Concepts to Master: Since I cannot reproduce the proprietary video content

The Power BI Family: Understand the difference between:

Power BI Desktop: The authoring tool (where you build reports). Power BI Service: The online platform (where you share and view reports). Power BI Mobile: For viewing on phones/tablets.

The Interface: Locate the three main views on the left-hand ribbon: Guide: Microsoft Power BI – A Complete Introduction

Report View: The canvas where you design visuals. Data View: Where you inspect the data tables (spreadsheet view). Model View: Where you define relationships between tables.

Panes: Get comfortable with the Visualizations Pane , Fields Pane , and Filters Pane .

Part 2: Connecting & Shaping Data (Power Query) Objective: Get data from external sources and clean it before loading it into Power BI. Key Concepts to Master: A Web Browser: For viewing the Power BI Service (app

Power Query Editor: This is the "ETL" (Extract, Transform, Load) tool. You open this window before data hits your model. Connecting Sources: How to import data from Excel, CSV, and Web sources. Basic Transformations:

Removing columns and rows (Remove Top Rows). Promoting headers (using the first row as headers). Changing data types (Ensuring numbers are treated as numbers, dates as dates).