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Microsoft Power BI Data Analyst Certification Guide

Microsoft Power BI Data Analyst Certification Guide

By : Edenfield, Corcoran
3.9 (26)
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Microsoft Power BI Data Analyst Certification Guide

Microsoft Power BI Data Analyst Certification Guide

3.9 (26)
By: Edenfield, 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)
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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

Chapter 7: Creating Measures Using DAX

Once you have connected to your data, done a bit of analysis, and organized it for reporting, the next step is to create a data model.

A good data model will provide faster and more accurate reporting. If the data model is easy to understand, report developers will take less time to generate reports and it will make those reports easier to maintain. The data model is a crucial component of any Power BI solution, so ensuring you have effective and efficient use of measures will be a key factor. In this chapter, we will take a deep dive into the powerful Data Analysis Expressions (DAX) programming language, which will unlock dynamic and useful capabilities for solving reporting challenges.

In this chapter, we will cover the following topics:

  • Building complex measures with DAX
  • Using CALCULATE to manipulate filters
  • Implementing time intelligence using DAX
  • Replacing numeric calculated columns with measures
  • Using basic...
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Microsoft Power BI Data Analyst Certification Guide
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