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Author: Brian D. Bissett
Publisher: CRC Press
ISBN: 1584888865
Category : Computers
Languages : en
Pages : 478
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Book Description
Because the analysis of copious amounts of data and the preparation of custom reports often take away time from true research, the automation of these processes is paramount to ensure productivity. Exploring the core areas of automation, report generation, data acquisition, and data analysis, Automated Data Analysis Using Excel illustrates how to m
Author: Brian D. Bissett
Publisher: CRC Press
ISBN: 1584888865
Category : Computers
Languages : en
Pages : 478
Get Book
Book Description
Because the analysis of copious amounts of data and the preparation of custom reports often take away time from true research, the automation of these processes is paramount to ensure productivity. Exploring the core areas of automation, report generation, data acquisition, and data analysis, Automated Data Analysis Using Excel illustrates how to m
Author: Brian D Bissett
Publisher: CRC Press
ISBN: 9781138416536
Category :
Languages : en
Pages :
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Book Description
Because the analysis of copious amounts of data and the preparation of custom reports often take away time from true research, the automation of these processes is paramount to ensure productivity. Exploring the core areas of automation, report generation, data acquisition, and data analysis, Automated Data Analysis Using Excel illustrates how to minimize user intervention, automate parameter setup, obtain consistency in both analysis and reporting, and save time through automation. Focusing on the built-in Visual Basic for Applications (VBA) scripting language of Excel, the book shows step-by-step how to construct useful automated data analysis applications for both industrial and academic settings. It begins by discussing fundamental elements, the methods for importing and accessing data, and the creation of reports. The author then describes how to use Excel to obtain data from non-native sources, such as databases and third-party calculation tools. After providing the means to access any required information, the book explains how to automate manipulations and calculations on the acquired data sources. Collecting all of the concepts previously discussed in the book, the final chapter demonstrates from beginning to end how to create a cohesive, robust application. With an understanding of this book, readers should be able to construct applications that can import data from a variety of sources, apply algorithms to data that has been imported, and create meaningful reports based on the results.
Author: Ash Narayan Sah
Publisher: Excel Books India
ISBN: 9788174467164
Category :
Languages : en
Pages : 220
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Book Description
Author: Manisha Nigam
Publisher: BPB Publications
ISBN: 9389845807
Category : Computers
Languages : en
Pages : 552
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Book Description
Explore different ways and methods to consolidate data, complex analysis, and prediction or forecast based on trends Ê KEY FEATURESÊ _ Ê Ê Use the Analysis ToolPak to perform complex Data analysis _ Ê Ê Get well versed with the formulas, functions, and components in Excel _ Ê Ê Handy templates to give you a head start _ Ê Ê Usage of multiple examples to explain the application in a real-world scenario _ Ê Ê Implement macros for your everyday tasks that will help you save your time _ Ê Ê Explore different Charts types for Data visualization Ê Ê DESCRIPTION Book explains and simplify the usage of Excel features and functionalities, with the help of examples. It starts with ÔGetting Started with ExcelÕ and ÔPerforming functions with shortcut keysÕ which will help you in getting started with Excel. Then ÔFormulas and FunctionsÕ gives an initial understanding of what are operators, formulas, functions, their components. Further ÔData Visualization with new Charts typesÕ, ÔGantt and Milestone chartÕ, ÔSmartArt and Organization ChartÕ give details on the different chart types available in Excel. Ê In the intermediate section you will learn ÔGet creative with Icons, 3D models, Digital InkingÕ details multiple new and improved features that got introduced to enhance the visual presentation. In the end, Chapters ÔMail Merge using ExcelÕ, ÔCreate Custom Excel TemplateÕ and ÔMacros in ExcelÕ explain the Excel features that help in automating tasks. You will learn how to generate multiple documents automatically with customization, create and use your own templates and use of macros to do repeated task automatically. And at last Chapter ÔGet help for your problemÕ lists few problem statements and their probable solutions with references to the Excel feature or functionality that can be used to resolve the problem. Ê Ê Ê WHAT WILL YOU LEARN _ Ê Ê Get familiar with the most used advanced Excel formulas and functions for Data analysis _ Ê Ê Learn how to create a Gantt / Timeline / Milestone Chart in Excel _ Ê Ê Use charts for Better Data visualization _ Ê Ê Build organization charts with SmartArt tools in Excel _ Ê Ê Use the Analysis ToolPak & Power Pivots to perform complex Data analysis _ Ê Ê Learn how to link and share workbooks for automatic updates ÊÊ WHO THIS BOOK IS FOR This book is for professionals from any domain, who are searching for shortcuts & advanced methods to resolve their daily problems.Ê Ê Table of Contents 1.Ê Ê Ê Getting Started with Excel 2.Ê Ê Ê Perform Functions with Shortcut Keys 3.Ê Ê Ê Formulas and Functions 4.Ê Ê Ê Data Visualization with New Chart types 5.Ê Ê Ê Gantt and Milestone Chart 6.Ê Ê Ê SmartArt & Organization Chart 7.Ê Ê Get creative with Icons, 3D models, Digital Inking 8.Ê Ê Ê Putting Data in perspective with Pivots 9.Ê Ê Ê Complex Data Analysis using ToolPak 10.Ê Forecasting in Excel 11.Ê Mail Merge using Excel 12.Ê Create Custom Excel Template 13.Ê Macros in Excel 14.Ê Get help for your problem
Author: Américo Moreira
Publisher: Americo Moreira
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Excel for Data Insights is a comprehensive guide that explores the world of Business Intelligence and data analysis using Excel. This book covers everything from importing and cleansing data to creating interactive dashboards and visualizations. Whether you are a beginner or an experienced Excel user, this book will equip you with the skills and knowledge needed to effectively analyze and visualize data. In the first few chapters, you will learn the basics of Excel as a tool for data insights, including setting up Excel for data analysis and navigating the Excel interface. The book then dives into data import and cleansing techniques, teaching you how to import data into Excel, clean and transform data, and handle errors and missing data. The book also covers advanced data analysis techniques, such as using formulas and functions for analysis, performing statistical analysis, and utilizing Solver for optimization. Additionally, you will learn about data modeling and Power Query, creating relationships between tables, and combining data from multiple sources. With a focus on data visualization, the book explores creating advanced charts and graphs, using sparklines and data bars, customizing chart elements, and visualizing geographic data. It also delves into PivotTables and Power Pivot for advanced data analysis, as well as Power View and Power Map for interactive data visualization. Furthermore, the book covers topics like data analysis with Excel Solver, Excel macros for automating data analysis tasks, and using Excel add-ins for statistical analysis and data transformation. It concludes with best practices for data visualization, including choosing the right chart for your data, designing effective dashboards and reports, and presenting data insights effectively. Whether you are a business professional, analyst, or student, "Excel for Data Insights" is your ultimate guide to harnessing the power of Excel for Business Intelligence and data analysis.
Author: Julio Cesar Rodriguez Martino
Publisher: Packt Publishing Ltd
ISBN: 178934512X
Category : Computers
Languages : en
Pages : 243
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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.
Author: David Whigham
Publisher:
ISBN: 9781621984764
Category : Business mathematics
Languages : en
Pages : 293
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Book Description
Author: Gordon Linoff
Publisher: John Wiley & Sons
ISBN: 0470099518
Category : Computers
Languages : en
Pages : 698
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Book Description
'Data Analysis Using SQL and Excel' shows business managers and data analysts how to use the relatively simple tools of SQL and Excel to extract useful business information from relational databases.
Author: Michael R. Middleton
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 294
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Book Description
Microsoft Excel 5.0 is a widely used spreadsheet tool and this book is an excellent reference that shows students how to maximize the use of Excel 5.0s new data analysis functions.
Author: Paul McFedries
Publisher: John Wiley & Sons
ISBN: 1118517148
Category : Computers
Languages : en
Pages : 338
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Book Description
Geared towards Excel power users, this visual guide presents numerous screenshots and easy-to-follow numbered steps to show users how to perform professional-level modeling, charting, data sharing, data access, data slicing and other functions. Original.
