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

Adding an R or Python visual

In addition to Power BI, the open source R and Python programming languages can also be powerful tools for transforming and visualizing data. Power BI has built-in capabilities to use R and Python environments to visualize data and use those visualizations in reports.

This is not the book to get into R or Python, but there are some things you should know for the test. If you would like to go deeper with data analysis with Python, then we suggest the Microsoft Learn module Explore and analyze data with Python, available here: https://docs.microsoft.com/learn/modules/explore-analyze-data-with-python/. For data analysis with R, we suggest the module R developer's guide to Azure, available here: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/r-developers-guide.

  • You must have R or Python installed on the same computer as Power BI Desktop.
  • If you have multiple versions of R or Python installed, Power BI Desktop...