Curriculum

  1. 1

    Book Preview

    1. Advanced Analytics with Power BI and Excel Free preview
  2. 2

    Introduction

    1. (Included in full purchase)
  3. 3

    Chapter 1 : Introducing the Theoretical Background for Democratizing Analytics

    1. (Included in full purchase)
  4. 4

    Chapter 2 : Acquiring and Transforming Data From Multiple Sources

    1. (Included in full purchase)
  5. 5

    Chapter 3 : Power Query Transformations and Formula Language (M) Overview

    1. (Included in full purchase)
  6. 6

    Chapter 4 : Building a Simple Analytical Solution with Power Pivot in Excel

    1. (Included in full purchase)
  7. 7

    Chapter 5 : Enhancing the Model and Business Analysis with DAX

    1. (Included in full purchase)
  8. 8

    Chapter 6 : Creating Reports in Power BI Desktop

    1. (Included in full purchase)
  9. 9

    Chapter 7 : Using the Power BI Service

    1. (Included in full purchase)
  10. 10

    Chapter 8 : Data Science in Power BI

    1. (Included in full purchase)
  11. 11

    Chapter 9 : Optimizing Power BI Models and Reports

    1. (Included in full purchase)
  12. 12

    Chapter 10 : Deploying, Maintaining and Securing Power BI Assets

    1. (Included in full purchase)
  13. 13

    Index

    1. (Included in full purchase)

About the course

In today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI). Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging data science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions.

About the Author

Dejan Sarka, MCT and Data Platform MVP alumni is an independent trainer and consultant that focuses on the development of database and business intelligence applications. Jernej Rihar is experienced in data analytics, data visualization, data preparation, and integrated data systems development, mostly in companies operating in the energy, retail, and manufacturing industries. Klemen VonĨina, MCT, started as a trainer for Microsoft Office, with an emphasis on Microsoft Excel, gradually advancing into Excel BI. He later started focusing more and more on the various services offered in Microsoft 365, mainly on the Microsoft Power Platform and SharePoint Online.