Book Image

Microsoft Power BI Data Analyst Certification Guide

By : Orrin Edenfield, Edward Corcoran
5 (1)
Book Image

Microsoft Power BI Data Analyst Certification Guide

5 (1)
By: Orrin Edenfield, Edward Corcoran

Overview of this book

Microsoft Power BI enables organizations to create a data-driven culture with business intelligence for all. This guide to achieving the Microsoft Power BI Data Analyst Associate certification will help you take control of your organization's data and pass the exam with confidence. From getting started with Power BI to connecting to data sources, including files, databases, cloud services, and SaaS providers, to using Power BI’s built-in tools to build data models and produce visualizations, this book will walk you through everything from setup to preparing for the certification exam. Throughout the chapters, you'll get detailed explanations and learn how to analyze your data, prepare it for consumption by business users, and maintain an enterprise environment in a secure and efficient way. By the end of this book, you'll be able to create and maintain robust reports and dashboards, enabling you to manage a data-driven enterprise, and be ready to take the PL-300 exam with confidence.
Table of Contents (25 chapters)
1
Part 1 – Preparing the Data
6
Part 2 – Modeling the Data
11
Part 3 – Visualizing the Data
15
Part 4 – Analyzing the Data
18
Part 5 – Deploying and Maintaining Deliverables
21
Part 6 – Practice Exams

Exploring slicers and filters

Slicers allow Power BI users to apply filters dynamically to data shown in visuals. This is helpful when you have an entire dataset that can be divided or segmented to show different characteristics of the data. For example, our sales database contains both store sales and customer addresses and the associated relationship between the two. This means we can use the map and table visuals to see how many sales we have in each state of the United States, as shown in Figure 12.1:

Figure 12.1 – Map and table of net store sales

As we increase our understanding of this data, we will want to be able to better understand how the net store sales compare for each state. Some states seem to be very close in net store sales. To help us, we're going to use the slicer visual and add the ca_state column to the slicer visual. This means we can select just the states Iowa and Missouri. The table and map visuals will filter to only those...