Microsoft Excel 2016 Business Analytics And Power Bi Quick Reference Guide 2017 Ed 4 Page Cheat Sheet Of Instructions Tips And S
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Microsoft Excel 2016 Business Analytics and Power BI Quick Reference Guide, 2017 Ed. (4-Page Cheat Sheet of Instructions, Tips and S
This guide was updated in January 2017 to reflect the latest user interface. For power users who want to bring big data onto the desktop this four page laminated quick reference provides guidance on powerful Excel 2016 and Power BI data analytic features. Step-by-step instructions are given for many data gathering, transforming, analyzing and visualizing features such as the Data Model, Query Editor and Power View. DAX functions are highlighted and Power BI Desktop is introduced. Written with Beezix's trademark focus on clarity, accuracy, and the user's perspective, this guide will be a valuable resource to improve your proficiency in using Excel 2016. This guide is suitable as a training handout, or simply an easy to use reference guide. The following topics are covered: Gathering Data: Excel's Data Model; Adding External Data to the Data Model; Adding Ranges to the Data Model; Adding a Folder of Files to the Data Model; Edit Existing Connections. Transforming Data: Opening the Query Editor; Using the Query Editor to Transform; Using the Query Editor to Filter; Suggested Data Transformations; Working with Query Actions; Using the Query Editor to Merge; Using the Query Editor to Unpivot Columns; Using the Query Editor to Append; Using the Query Editor to Split Text Into Columns; Closing the Query Editor; Add Table Data to the Data Model; Defining Relationships Across Multiple Tables; Managing Relationships Within the Data Model. Analyzing Data: Quick Analysis Using PivotTables; Creating a PivotTable from the Data Model; Adding Tables and Fields to an Existing PivotTable; Updating PivotTable Data; Analyzing with Calculated Columns and Measures; Calculating in PivotTables; Calculating in the Data Model Using DAX; Forecasting with the Forecast Sheet Wizard. Visualizing with Power View: Adding Power View to Excel; Creating a Power View Sheet; Adding Visualizations to Power View. Visualizing with Power
Mastering Power Query in Power BI and Excel
Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.
Microsoft Excel 2016 Introduction Quick Reference Training Guide (Cheat Sheet of Instructions, Tutorial, Tips & Shortcuts)
Designed with the busy professional in mind, this 4-page quick reference guide provides step-by-step instructions in Excel 2016. When you need an answer fast, you will find it right at your fingertips with this Microsoft Excel 2016 Quick Reference Guide. Simple and easy-to-use, quick reference cards are perfect for individuals, businesses and as supplemental training materials. Includes touch gestures and keyboard shortcuts.