EXCEL & POWER BI GUIDE 2022

CRUNCH DATA WITH EXCEL & POWER BI!Power BI and Excel are Microsoft products. Excel is used to organize data, transform it and perform mathematical operations and calculations. On the other hand, Power BI serves as a business intelligence and data visualization tool for businesses. Excel has limitations in the amount of data it can work with. In contrast, Power BI can handle much larger amounts of data. This book is a combo of these two powerful data tools, it was written to aid your transition into data manipulation, visualization, analysis and transformation.
This book is divided into two sections. The book one discusses Microsoft Power BI. As it is well known that Microsoft Power BI is one of the best business intelligence platforms available on mobile applications, clouds, data modeling applications, on-premises data gateway, and other utilities.
This book covers the fundamentals and most commonly used features of Power BI. It is an in-depth guide on all you need to know about data modeling and how to reliably develop data models using Power BI. It includes how to connect data from a variety of sources, comprehend data, build and manage data connections, and design data models. As a reader, you will learn the step-by-step process of how to create relationships and develop a data model using data modeling and navigation approaches before creating new measures and conducting custom computations using modeling features. Also, you'll learn how to extend your data models with new and sophisticated modeling characteristics so that they can do a broad range of challenging tasks.
Below are some stuffs you will learn in the book one:

The best practices for data preparations and data modeling.

Understanding complex data models.

How to create custom columns.

Microsoft Dynamics CRM.

How to use the M functions to perform different tasks.

How to design a data model and mobile layouts.

Creating table and matrix visuals

Extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL.

Defining RLS Roles and Filter Expressions

Forecasting and Anomaly Detection

Analyzing Extended Events

Configuring workspaces and lots more.

In this book, coding samples and screenshots were used to describe the ways you can create reports, publish them, view them across different platforms, and more. Be rest assured that as you go through the chapters of this book, you will become conversant with how to address business problems with the help of the given examples.

The book two focuses on Microsoft Excel. Microsoft Excel is a well-known spreadsheet tool created by Microsoft. It is a spreadsheet program that can be used to manipulate, analyze, and display data. Data is analyzed, computations are performed, and findings are reported using Excel. Students, scientists, and business experts all utilize Excel in their work. Also, many professions nowadays demand workers to have a basic understanding of Microsoft Excel.
This book discusses different methods on how to use the various functions in Excel. This book provides an in-depth Microsoft Excel lesson for anybody who is new to the program or hasn't used it in a long time. It contains chapters and steps with illustrations on how to use all Excel functions, shortcuts, formulae, and symbols to compute and create basic worksheets.
The objective of this book is to assist you in analyzing, manipulating, and presenting data in Excel. As a novice who wishes to become an Excel 2022 expert, this book will assist you in understanding these features.
In this book, you'll learn how to professionally use Excel to manipulate data for your choice output.
So, are you ready to learn Excel and become an expert in it? Then, be rest assured that with the step-by-step guide in this book, you will achieve that.