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

Enriching data with AI

Power Query also includes ways to enhance data using AI services from Microsoft. These features integrate with Microsoft Azure Cognitive Services and require a Power BI Premium capacity or per-user license. The options for AI Insights include the following:

  • Language detection
  • Key phrase extraction
  • Sentiment analysis
  • Image tagging

Let's consider why each of these would be useful.

Language detection

When data contains free-text fields, and we want to use those in analysis, it's important to first ensure we know the language used in the text. The accuracy and usability of subsequent text analysis are enhanced when the language of a given text block is known. AI Insights provides capabilities to detect language and it is recommended to start with language detection before performing key phrase extraction or sentiment analysis. AI Insights can detect up to 120 languages and returns both the name of the language as well as...