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"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 Features. Use 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 learn. Use Excel to preview and cleanse datasets.Understand correlations between variables and optimize the input to machine learning models. Use and evaluate different machine learning models from Excel. Understand the use of different visualizations. Learn the basic concepts and calculations to understand how artificial neural networks work. Learn how to connect Excel to the Microsoft Azure cloud. Get beyond proof of concepts and build fully functional data analysis flows. Who 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." -- Publisher's description.

Machine learning. --- Microsoft Excel (Computer file)

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Microsoft Excel 2011 for Mac OS X is a powerful application, but many of its most impressive features can be difficult to find. Learn Excel 2011 for Mac by Guy Hart-Davis is a practical, hands-on approach to learning all of the details of Excel 2011 in order to get work done efficiently on Mac OS X. From using formulas and functions to creating databases, from analyzing data to automating tasks, you'll learn everything you need to know to put this powerful application to use for a variety of tasks.

Computer. Automation --- informatica --- Macintosh (Computer) --- Microsoft Excel (Computer file)

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This book covers all aspects of budget preparation, from designing and creating a budgetary control system, consolidating data and working with spreadsheets. Now fully updated to include the latest version of Excel, Excel 2007 and for easy budgeting now with access to an online resource of worked examples and spreadsheet templates. The book shows how things are done in Excel 2003 and Excel 2007 to ease transition from the previous version to the new version. Now in full colour throughout to aid quick uderstanding through numerous colour screen shots.For those who use Excel on a

Finance, Personal --- Computer programs. --- Microsoft Excel (Computer file)

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Business --- Electronic spreadsheets. --- Computer programs. --- Microsoft Excel (Computer file)

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Design, create and manage robust Power BI solutions to gain meaningful business insights About This Book Master all the dashboarding and reporting features of Microsoft Power BI Combine data from multiple sources, create stunning visualizations and publish your reports across multiple platforms A comprehensive guide with real-world use cases and examples demonstrating how you can get the best out of Microsoft Power BI Who This Book Is For Business Intelligence professionals and existing Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book to be useful. While understanding of the basic BI concepts is required, some exposure to Microsoft Power BI will be helpful. What You Will Learn Build efficient data retrieval and transformation processes with the Power Query M Language Design scalable, user-friendly DirectQuery and Import Data Models Develop visually rich, immersive, and interactive reports and dashboards Maintain version control and stage deployments across development, test, and production environments Manage and monitor the Power BI Service and the On-premises data gateway Develop a fully on-premise solution with the Power BI Report Server Scale up a Power BI solution via Power BI Premium capacity and migration to Azure Analysis Services or SQL Server Analysis Services In Detail This book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI's tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data...

Information visualization. --- Microsoft Excel (Computer file) --- Microsoft PowerPivot (Computer file)