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

What a fun chapter! These more advanced features of Power BI are phenomenal. They allow you to get a much deeper understanding of how data points in your dataset interact with, influence, and affect your business.

In this chapter, we covered how to identify outliers and anomalies in your data. You saw, ever so briefly, what makes an outlier, then quickly moved away from the math. Power BI can detect them for you, no math required.

Power BI is an awesome tool for analyzing your data over time. Some visualizations allow you to add a play axis that you can add a date field to; for the rest, you added the Play Axis slicer visualization to the page and made every visual change over time.

With grouping, we created our own subgroups within a column. You then used binning to change a continuous, numeric column into a categorical field. These two interrelated concepts allow you to simplify visuals or bin together smaller data points.

The key influencers chart allows you...