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Learn Excel 2016 Expert Skills with the Smart Method

Author : Mike Smart

Publisher :

Page : 518 pages

File Size : 22,94 MB

Release : 2016-03-04

Category : Computers

ISBN : 9781909253094

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Book Description

This book is very, very different to any other computer book you have ever read. The Smart Method provides an entirely new and better way to learn Excel. You'll immediately appreciate the value and relevance of each skill as it is taught. Both IT professionals and absolute beginners will love this book because it avoids needless technical jargon and concisely explains everything you need in a simple and no-nonsense way. Amongst other things you'll learn how to: ¿Use Excel 2016¿s new 3D maps feature to create interactive video tours ¿Use Excel 2016¿s new Get & Transform tool to clean and combine data ¿Perform What-If analysis to model and compare business scenarios ¿Use advanced functions to solve real-world business problems ¿Create intuitive user interfaces using form controls and recorded macros ¿Master dynamic tables and structured table references ¿Use Excel 2016¿s new Append and Merge queries to de-normalize data ¿Master Excel¿s data modeling features to define table relationships ¿Completely understand Excel¿s ability to create OLAP cubes ¿Use OLAP pivot tables and 3D Maps to present OLAP cube data. ¿Use OLAP features to gain total control over PivotTable formatting ¿Break the million row limit with Excels 2016¿s new Big Data features



Learn Excel 2016 Essential Skills for Mac OS X with the Smart Method

Author : Mike Smart

Publisher :

Page : 342 pages

File Size : 26,38 MB

Release : 2016-03-08

Category : Computers

ISBN : 9781909253117

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Book Description

At long last there is now a professional Excel course available for Mac users This book is only for the Apple Mac version of Excel 2016. (There's also an Excel for Windows version available (ISBN: 978-1-909253-08-7). This Excel 2016 for Mac book is very, very different to any other computer book you have ever read. The Smart Method provides an entirely new and better way to learn Excel 2016 for Mac. Here are just five of the many ways in which this book is unique: The book will equip you with excellent Excel 2016 for Mac skills, good enough to impress any employer, but it doesn't confuse by attempting to teach skills that are not common in the workplace. Only users who have advanced requirements need progress to the Excel 2016 for Mac Expert Skills book. Instruction is logically structured into sessions and lessons. While this makes the book ideal for self-instruction, you can also use it to run your own, highly effective, Excel 2016 for Mac adult training courses. Every lesson is presented on two facing sheets of A4 paper (the pages are much bigger than in any other Excel book).Each lesson has a sample file that models a real-world business problem. You'll immediately appreciate the value and relevance of each skill as it is taught. Both IT professionals and absolute beginners will love this book because it avoids needless technical jargon and concisely explains everything you need in a simple and no-nonsense way. From the Back Cover Amongst other things you'll learn how to: Create stunning, professional, presentation-quality chartsUse the new Excel 2016 for Mac Cloud Computing features to share dataUnderstand absolute, relative and mixed cell referencesCreate stunning, professional, presentation-quality chartsUse the Themes feature to create visually excellent worksheets Use Sparklines to visually represent large data setsBring your data alive with VisualizationsCreate custom conditional formatting rules with the Rules ManagerCreate your own formulas with the Formula AutoComplete featureMaster Excel 2016 for Mac's Fluent User Interface and RibbonUnderstand the different Excel 2016 for Mac file formatsAdd a professional sheen to your work with 3-D ElementsUnderstand and work with three-dimensional worksheet groups Companies who have taken Smart Method courses include: AOL Time Warner, The United States Army, Daimler Chrysler, Motorola, HSBC, Barclays, American Express, Allied Irish Banks, Imperial Tobacco, Volvo, The BBC, British Petroleum, The Foreign and Commonwealth Office, Unilever, The Institute of Chartered Accountants, The Ministry of Defence, Keele University, Deutsche Bank, HBOS, Transport For London, The Performing Rights Society, Scottish Power, The Office of the Parliamentary Ombudsman, BAE Systems, RBS, Marks & Spencer, Virgin, O2, BMW... and many, many others.



Data Smart

Author : John W. Foreman

Publisher : John Wiley & Sons

Page : 432 pages

File Size : 16,20 MB

Release : 2013-10-31

Category : Business & Economics

ISBN : 1118839862

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Book Description

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.



Microsoft Azure Essentials - Fundamentals of Azure

Author : Michael Collier

Publisher : Microsoft Press

Page : 400 pages

File Size : 15,80 MB

Release : 2015-01-29

Category : Computers

ISBN : 0735697302

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Book Description

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.



Hands-On Machine Learning with Microsoft Excel 2019

Author : Julio Cesar Rodriguez Martino

Publisher : Packt Publishing Ltd

Page : 243 pages

File Size : 13,38 MB

Release : 2019-04-30

Category : Computers

ISBN : 178934512X

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Book Description

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis. Key FeaturesUse Microsoft's product Excel to build advanced forecasting models using varied examples Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more Derive data-driven techniques using Excel plugins and APIs without much code required Book Description We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. What you will learnUse Excel to preview and cleanse datasetsUnderstand correlations between variables and optimize the input to machine learning modelsUse and evaluate different machine learning models from ExcelUnderstand the use of different visualizationsLearn the basic concepts and calculations to understand how artificial neural networks workLearn how to connect Excel to the Microsoft Azure cloudGet beyond proof of concepts and build fully functional data analysis flowsWho this book is for This book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required.



Introducing Windows 10 for IT Professionals

Author : Ed Bott

Publisher : Microsoft Press

Page : 321 pages

File Size : 49,70 MB

Release : 2016-02-18

Category : Computers

ISBN : 0735696985

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Book Description

Get a head start evaluating Windows 10--with technical insights from award-winning journalist and Windows expert Ed Bott. This guide introduces new features and capabilities, providing a practical, high-level overview for IT professionals ready to begin deployment planning now. This edition was written after the release of Windows 10 version 1511 in November 2015 and includes all of its enterprise-focused features. The goal of this book is to help you sort out what’s new in Windows 10, with a special emphasis on features that are different from the Windows versions you and your organization are using today, starting with an overview of the operating system, describing the many changes to the user experience, and diving deep into deployment and management tools where it’s necessary.



Learn Excel 2016 Expert Skills for Mac OS X with the Smart Method

Author : Mike Smart

Publisher : Smart Method Limited

Page : 368 pages

File Size : 36,10 MB

Release : 2016-03-08

Category : Computers

ISBN : 9781909253124

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Book Description

This book is very, very different to any other computer book you have ever read. The Smart Method provides an entirely new and better way to learn Excel. You'll immediately appreciate the value and relevance of each skill as it is taught. Both IT professionals and absolute beginners will love this book because it avoids needless technical jargon and concisely explains everything you need in a simple and no-nonsense way. Amongst other things you'll learn how to: Visually filter data using Slicers, master dynamic tables and structured table references, enforce complex business rules using function-driven custom validations, perform What-If analysis to model and compare business scenarios, use advanced functions to solve real-world business problems, create intuitive user interfaces using form controls , eliminate errors using Excel¿s advanced formula auditing tools, understand and use all of Excel¿s security features, design advanced Pivot Tables, create and use dynamic and table-based range names, record macros and then execute them from button controls, use Excel¿s three different sharing methods for efficient teamwork.



101 Best Excel Tips & Tricks

Author : Bryan Hong

Publisher : Independently Published

Page : 540 pages

File Size : 46,54 MB

Release : 2021-03-19

Category :

ISBN :

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Book Description

Learn the Best Excel Tips & Tricks Ever: FORMULAS, MACROS, PIVOT TABLES, FORMATTING, DATA, MICROSOFT OFFICE 365 plus Many More! With this book, you'll learn to apply the must know Excel features and tricks to make your data analysis & reporting easier and will save time in the process. With this book you get the following: ✔ 101 Best Excel Tips & Tricks To Advance Your Excel Skills & Save You Hours ✔ New Excel Tips & Tricks for Microsoft Office 365 ✔ Easy to Read Step by Step Guide with Screenshots ✔ Downloadable Practice Excel Workbooks for each Tip & Trick ✔ You also get a FREE BONUS downloadable PDF version of this book! This book is a MUST-HAVE for Beginner to Intermediate Excel users who want to learn Microsoft Excel FAST & stand out from the crowd!



Management Information Systems

Author : Kenneth C. Laudon

Publisher : Pearson Educación

Page : 618 pages

File Size : 34,23 MB

Release : 2004

Category : Business & Economics

ISBN : 9789702605287

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Book Description

Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.



The Book of R

Author : Tilman M. Davies

Publisher : No Starch Press

Page : 833 pages

File Size : 49,4 MB

Release : 2016-07-16

Category : Computers

ISBN : 1593276516

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Book Description

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.