Part 1: Data Exploration and Preparation

Your journey starts with the ingestion and preparation of data using Power BI. After discussing data modeling for business intelligence and machine learning, you will learn how to connect to data for the use case, clean it up and check for errors, explore the data to ensure referential integrity, and then create a relational data model.

This part has the following chapters:

• Chapter 1, Requirements, Data Modeling, and Planning
• Chapter 2, Preparing and Ingesting Data with Power Query
• Chapter 3, Exploring Data Using Power BI and Creating a Semantic Model
• Chapter 4, Model Data for Machine Learning in Power BI