Description

Book Synopsis

Gain the knowledge and skills needed to become a certified Microsoft Power BI data analyst and get the most out of Power BI

Key Features
  • Get the skills you need to pass the PL-300 certification exam with confidence
  • Create and maintain robust reports and dashboards to enable a data-driven enterprise
  • Test your new BI skills with the help of practice questions
Book Description

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.

What you will learn
  • Connect to and prepare data from a variety of sources
  • Clean, transform, and shape your data for analysis
  • Create data models that enable insight creation
  • Analyze data using Microsoft Power BI's capabilities
  • Create visualizations to make analysis easier
  • Discover how to deploy and manage Microsoft Power BI assets
Who this book is for

This book is for data analysts and BI professionals who want to become more competent in Microsoft Power BI. Although the content in this book will help you pass the PL-300 exam, there are plenty of other practical applications beyond exam preparation in the chapters. No prior experience with Power BI is needed.



Table of Contents
Table of Contents
  1. Overview of Power BI and the PL-300 Exam
  2. Connecting to Data Sources
  3. Profiling the Data
  4. Cleansing, Transforming, and Shaping Data
  5. Designing a Data Model
  6. Using Data Model Advanced Features
  7. Creating Measures Using DAX
  8. Optimizing Model Performance
  9. Creating Reports
  10. Creating Dashboards
  11. Enhancing Reports
  12. Exposing Insights from Data
  13. Performing Advanced Analytics
  14. Managing Workspaces
  15. Managing Datasets
  16. Practice Exams

Microsoft Power BI Data Analyst Certification Guide: A comprehensive guide to becoming a confident and certified Power BI professional

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    £40.32

    Includes FREE delivery

    Order before 4pm today for delivery by Mon 22 Jun 2026.

    A Paperback by Orrin Edenfield, Edward Corcoran

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Microsoft Power BI Data Analyst Certification Guide: A comprehensive guide to becoming a confident and certified Power BI professional by Orrin Edenfield

      Publisher: Packt Publishing Limited
      Publication Date: 24/05/2022
      ISBN13: 9781803238562, 978-1803238562
      ISBN10: 1803238569

      Description

      Book Synopsis

      Gain the knowledge and skills needed to become a certified Microsoft Power BI data analyst and get the most out of Power BI

      Key Features
      • Get the skills you need to pass the PL-300 certification exam with confidence
      • Create and maintain robust reports and dashboards to enable a data-driven enterprise
      • Test your new BI skills with the help of practice questions
      Book Description

      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.

      What you will learn
      • Connect to and prepare data from a variety of sources
      • Clean, transform, and shape your data for analysis
      • Create data models that enable insight creation
      • Analyze data using Microsoft Power BI's capabilities
      • Create visualizations to make analysis easier
      • Discover how to deploy and manage Microsoft Power BI assets
      Who this book is for

      This book is for data analysts and BI professionals who want to become more competent in Microsoft Power BI. Although the content in this book will help you pass the PL-300 exam, there are plenty of other practical applications beyond exam preparation in the chapters. No prior experience with Power BI is needed.



      Table of Contents
      Table of Contents
      1. Overview of Power BI and the PL-300 Exam
      2. Connecting to Data Sources
      3. Profiling the Data
      4. Cleansing, Transforming, and Shaping Data
      5. Designing a Data Model
      6. Using Data Model Advanced Features
      7. Creating Measures Using DAX
      8. Optimizing Model Performance
      9. Creating Reports
      10. Creating Dashboards
      11. Enhancing Reports
      12. Exposing Insights from Data
      13. Performing Advanced Analytics
      14. Managing Workspaces
      15. Managing Datasets
      16. Practice Exams

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