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

Summary

In this chapter, we learned about the ways we can expose more insights from our data using tools such as slicers, filters, and the Analytics pane of Power BI.

We learned how we can create interactive visuals for our users so they can filter data shown in report visuals in an intuitive way using slicers. We also learned how the built-in filters for reports provide a way of curating data for users by setting filters for all pages, the current page, or just specific visuals on a report.

We learned how the Analytics pane provides a way to enhance some visuals to show statistical lines such as min, max, average, and trend lines. These lines are generated dynamically based on the data shown in the visual, so paired with slicers and filters, this allows for enhanced insight generation from existing Power BI reports.

In the next chapter, we'll take a closer look at advanced analytics topics, such as time series analysis and binning.