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

Understanding the capabilities of Power BI

Reporting and visualization capabilities are the core functionalities of Power BI. After sourcing data and modeling the data, you are now well positioned to take full advantage of it.

Imagine you want to show your boss gross revenue by state by product item group. You could create a table of data, much like what you would see in Excel.

Figure 9.1 – Data represented as a table

This is a decent way to show data, but it is not compelling. We could instead use the data storytelling capabilities in Power BI and create something like this:

Figure 9.2 – Data represented as a bar chart

Notice how you get a much better "feel" for the data when it is visualized like this. It's less confusing and drives your eyes and brain to understand how gross profit changes between states.

Or, even better, we could use the map visualization and have something such as this:

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