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Microsoft Power BI Data Analyst Certification Guide

Microsoft Power BI Data Analyst Certification Guide

By : Edenfield, Corcoran
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Microsoft Power BI Data Analyst Certification Guide

Microsoft Power BI Data Analyst Certification Guide

5 (0)
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

Advanced options (what-if parameters, Power Query parameters, PBIDS files, and XMLA endpoints)

Power BI provides many advanced capacities. From tools for creating what-if analysis to dynamic DAX code, to storing data sources and structures for ease of use to serving advanced connections, to a myriad of data consumers using XML for Analysis (XMLA), including other non-Power BI tools, this portion of the chapter will dive deeper into these advanced capabilities.

What-if parameters

Power BI parameters allow for advanced analysis using multiple values for different scenarios. This capability is like What-If Analysis in Microsoft Excel. It allows for the creation of measures that calculate percentage value increases of existing numeric values. What-if parameters make it easy to see and use multiple percentage increases/decreases by automatically creating a slicer and a table with generated values. By creating a measure using the generated values of the what-if parameter, you can...

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Microsoft Power BI Data Analyst Certification Guide
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