Power Bi - Data Modeling (2024)

Learn the essentials of building an effective data model

What you'll learn

Identify which data sources are available for connection

Explain the difference between a direct query and importing data

Determine Data Load settings before importing data

Connect to Excel and CSV files and to data stored in a SharePoint list

Enter data to load as a data source

Determine the integrity of the data by previewing the column quality, distribution, and profile

Change data types and work with applied steps

Merge tables

Split columns by a delimiter

Requirements

Basics knowledge in data model will be helpful

Description

Learn to use Power BI to design and build a well-structured data model.Power BI is a powerful tool for analyzing and reporting data. In Power BI Data Modeling, Microsoft Trainer Kathy Snizaski demonstrates how to use Power BI for building and transforming working data models. You’ll learn how to connect to various data sources, transform data, and build relationships between tables.Kathy will show you how to identify which data sources are available for connection and how to determine Data Load settings before importing data. You’ll see how to connect to Excel files, CSV files, and SharePoint list data and how to manually enter data to load as a data source.You’ll learn how to clean data by first determining the data integrity and then changing the data types and working with applied steps. You’ll also learn how to transform the data using multiple tools as well as how to manage relationships between tables and determine cardinality. By the end of this course, you will have the information you need to effectively use Power BI to build your data models.Topics covered include:Identifying which data sources are available for connectionExplaining the difference between a direct query and importing dataDetermining Data Load settings before importing dataConnecting to Excel and CSV files and to data stored in a SharePoint listEntering data to load as a data sourceDetermining the integrity of the data by previewing the column quality, distribution, and profileChanging data types and working with applied stepsMerging tablesSplitting columns by a delimiterUnpivoting fields within a queryManaging relationships between tablesDetermining cardinality

Overview

Section 1: Connect to Data

Lecture 1 Introduction

Lecture 2 Options for Data Connections

Lecture 3 Connecting to Data

Section 2: Clean and Transform Data

Lecture 4 Cleaning Data with Power Query Editor

Lecture 5 Transforming Data with Power Query Editor

Section 3: Model Data with Relationships

Lecture 6 Creating One-To-Many Relationships

Participants who have a basic understanding of Power BI and relational data and want to learn the essentials of building data models.