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 covered a lot of ground! We talked a lot about DAX, the programming language to implement business rules in Power BI.

We went over the basics of DAX, how it looks a lot like Microsoft Excel formulas, and how those formulas are applied in either the row or filter context. We compared measures to calculated columns.

We then discussed one of the most powerful functions in DAX, CALCULATE. We used CALCULATE to manipulate the filter context of our formulas to create more complex equations. We saw how CALCULATE can be used with simple filtering or be combined with the FILTER function for more powerful operations.

We discussed date tables and how they can be used with time intelligence calculations and how the date table becomes a role-playing dimension to be used across many related tables. We learned that Power BI includes time intelligence functions to make aggregations such as Year-over-Year much easier.

When comparing measures and columns, we...