Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Learn Data Mining Through Excel PDF full book. Access full book title Learn Data Mining Through Excel by Hong Zhou. Download full books in PDF and EPUB format.
Author: Hong Zhou Publisher: Apress ISBN: 1484259823 Category : Computers Languages : en Pages : 223
Book Description
Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help. Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages. This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data. What You Will Learn Comprehend data mining using a visual step-by-step approachBuild on a theoretical introduction of a data mining method, followed by an Excel implementationUnveil the mystery behind machine learning algorithms, making a complex topic accessible to everyoneBecome skilled in creative uses of Excel formulas and functionsObtain hands-on experience with data mining and Excel Who This Book Is For Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.
Author: Hong Zhou Publisher: Apress ISBN: 1484259823 Category : Computers Languages : en Pages : 223
Book Description
Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help. Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages. This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data. What You Will Learn Comprehend data mining using a visual step-by-step approachBuild on a theoretical introduction of a data mining method, followed by an Excel implementationUnveil the mystery behind machine learning algorithms, making a complex topic accessible to everyoneBecome skilled in creative uses of Excel formulas and functionsObtain hands-on experience with data mining and Excel Who This Book Is For Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.
Author: Barbara Lave Publisher: ISBN: 9781636350356 Category : Languages : en Pages :
Book Description
This is the first edition of a textbook written for a community college introductory course in spreadsheets utilizing Microsoft Excel; second edition available: https://openoregon.pressbooks.pub/beginningexcel19/. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before.
Author: Martin Lee Abbott Publisher: John Wiley & Sons ISBN: 1118627180 Category : Mathematics Languages : en Pages : 446
Book Description
Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.
Author: Ken Bluttman Publisher: John Wiley & Sons ISBN: 0470770244 Category : Computers Languages : en Pages : 332
Book Description
Put the power of Excel formulas and functions to work for you! Excel is a complex program. Mastering the use of formulas and functions lets you use Excel to compute useful day-to-day information, such as calculating the true cost of credit card purchases or comparing 15-year and 30-year mortgage costs. This fun and friendly book demystifies Excel's built-in functions so you can put them to work. You'll find step-by-step instructions on 150 of Excel's most useful functions, how they work within formulas, and how to use them to make your life easier. See how to use 150 of Excel's most useful functions, with real-world examples showing how each function is used within a formula Learn to calculate the costs of leasing versus buying a car, compute classroom grades, create an amortization table, or evaluate investment performance Fully updated for Excel 2010, but the principles will work with earlier versions of Excel as well Includes essential coverage of an additional 85 functions In the ever-popular, non-threatening For Dummies style, Excel Formulas and Functions For Dummies, 2nd Edition makes Excel's power accessible to you.
Author: Humberto Barreto Publisher: Cambridge University Press ISBN: 1107584981 Category : Business & Economics Languages : en Pages : 199
Book Description
Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.
Author: Julio Cesar Rodriguez Martino Publisher: Packt Publishing Ltd ISBN: 178934512X Category : Computers Languages : en Pages : 243
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: J. Holton Wilson Publisher: Business Expert Press ISBN: 160649435X Category : Business & Economics Languages : en Pages : 144
Book Description
The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describes exactly how regression models are developed and evaluated —where real data is used, instead of contrived textbook-like problems. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions.
Author: John Walkenbach Publisher: John Wiley & Sons ISBN: 1119067499 Category : Computers Languages : en Pages : 1155
Book Description
The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, the Excel 2016 Bible is your comprehensive, go-to guide for all your Excel 2016 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities by expert author and Excel Guru John Walkenbach to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2016 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2016's new features and tools Customize downloadable templates and worksheets Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2016 Bible has you covered with complete coverage and clear expert guidance.
Author: Conrad George Carlberg Publisher: Que Publishing ISBN: 0789751682 Category : Business & Economics Languages : en Pages : 288
Book Description
Explains how to distil big data into manageable sets and use them to optimise business and investment decisions. Reveals techniques to improve a wide range of decisions, and use simple Excel charts to grasp the results. Includes downloadable Excel workbooks to adapt to your own requirements.
Author: Paul McFedries Publisher: John Wiley & Sons ISBN: 1119074711 Category : Computers Languages : en Pages : 357
Book Description
See your way to Excel spreadsheet stardom with this visual guide If you're always hearing about the cool things Excel can do, here's your chance to see how to do them!Teach Yourself Visually Excel offers you a straightforward visual approach to working with the newest version of the world's leading spreadsheet program. Packed with visually rich tutorials and step-by-step instructions that will help you take your Excel skills to new heights, this friendly and approachable guide will have you creating, editing, and manipulating Excel spreadsheets in no time! Excel can seem daunting, but with Teach Yourself Visually Excel, you'll quickly and painlessly learn how to perform dozens of tasks, including creating spreadsheets and charts, filtering and sorting data, working with PivotTables, and so much more. Covering the latest additions and changes to the newest version of Excel, a series of easy-to-follow, full-color tutorials helps you to excel at working with Excel! Tutorials and step-by-step screenshots make lessons easy to follow and understand Helps you grasp the basic functions of Excel—and beyond Walks you through Excel s new features Clearly demonstrates how to organize, present, analyze, and chart data with Excel Whether you've never used Excel or just need to brush up on its new features, Teach Yourself Visually Excel will be the dog-eared resource you'll turn to again and again.
Author: Hong Zhou
Author: Hong Zhou
Author: Barbara Lave
Author: Martin Lee Abbott
Author: Ken Bluttman
Author: Humberto Barreto
Author: Julio Cesar Rodriguez Martino
Author: J. Holton Wilson
Author: John Walkenbach
Author: Conrad George Carlberg
Author: Paul McFedries