Free Downloads Microsoft Excel 2016 Business Analytics & Power BI Quick Reference Guide - Windows Version (4-page Cheat Sheet Of Instructions, Tips & Shortcuts - Laminated Guide)
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:
Pamphlet: 4 pages
Publisher: Beezix Inc (February 24, 2016)
Language: English
ISBN-10: 1939791987
ISBN-13: 978-1939791986
Product Dimensions: 11 x 8.5 x 0.2 inches
Shipping Weight: 0.8 ounces (View shipping rates and policies)
Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
Best Sellers Rank: #716,579 in Books (See Top 100 in Books) #240 in Books > Computers & Technology > Databases & Big Data > Data Warehousing #329 in Books > Computers & Technology > Software > Microsoft > Microsoft Excel #353 in Books > Computers & Technology > Databases & Big Data > Data Modeling & Design
Great info well organized
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