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Microsoft Office Excel 2007: Comprehensive Concepts and Techniques provides a project-based, step-by-step approach to successfully teach students Microsoft Excel 2007 skills. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Introduce your students to the new generation of Microsoft Office with the new generation of Shelly Cashman Series books! For the past three decades, the Shelly Cashman Series has effectively introduced computer skills to millions of students. With Excel 2007, we’re continuing our history of innovation by enhancing our proven pedagogy to reflect the learning styles of today’s students. In Microsoft Excel 2007: Introductory Concepts and Techniques you’ll find features that are specifically designed to engage students, improve retention, and prepare them for future success. Our trademark step-by-step, screen-by-screen approach now encourages students to expand their understanding of the Excel 2007 software through experimentation, exploration, and planning ahead. Brand new end of chapter exercises prepare students to become more capable software users by requiring them to use critical thinking and problem-solving skills to create real-life documents. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Introduce your students to the new generation of Microsoft Office with the new generation of Shelly Cashman Series books! For the past three decades, the Shelly Cashman Series has effectively introduced computer skills to millions of students. With Excel 2007, we’re continuing our history of innovation by enhancing our proven pedagogy to reflect the learning styles of today’s students. In Microsoft Excel 2007: Comprehensive Concepts and Techniques you’ll find features that are specifically designed to engage students, improve retention, and prepare them for future success. Our trademark step-by-step, screen-by-screen approach now encourages students to expand their understanding of the Excel 2007 software through experimentation, exploration, and planning ahead. Brand new end of chapter exercises prepare students to become more capable software users by requiring them to use critical thinking and problem-solving skills to create real-life documents. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
PivotTables may be Excel's most powerful feature, but Microsoft has estimated that only 15% of Excel users take advantage of them. That's because PivotTables (and their companion feature, PivotCharts) have a reputation for being difficult to learn. Not any more! In this book, Excel legends Bill Jelen ("MrExcel") and Michael Alexander teach PivotTables and PivotCharts step-by-step, using realistic business scenarios that any Excel user can intuitively understand. Jelen and Alexander go far beyond merely explaining PivotTables and PivotCharts: they present practical "recipes" for solving a wide range of business problems. Drawing on more than 30 combined years of Excel experience, they provide tips and tricks you won't find anywhere else, and show exactly how to sidestep common mistakes. Coverage includes: " Creating PivotTables, customizing them, and changing the way you view them " Performing calculations within PivotTables " Using PivotCharts and other visualizations " Analyzing multiple data sources with PivotTables " Sharing PivotTables with others " Working with and analyzing OLAP data " Making the most of Excel 2010's powerful new PowerPivot feature " Using Excel 2010's Slicer to dynamically filter PivotTables " Enhancing PivotTables with macros and VBA code This book is part of the new MrExcel Library series, edited by Bill Jelen, world-renowned Excel expert and host of the enormously popular Excel help site, MrExcel.com. Teaches PivotTables, PivotCharts, and Excel 2010's new PowerPivot feature through real-world scenarios that make intuitive sense to users at all levels Includes proven PivotTable recipes for instant on-the-job results Helps Excel users avoid common pitfalls and mistakes Part of the brand-new MrExcel Library series, edited by Excel legend Bill Jelen
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
This book looks at the new version of Microsoft Windows Office.
For Introductory and Advanced courses in Microsoft Excel 2007 or courses in Computer Concepts with a lab component for Microsoft Excel 2007. The goal of the Exploring series is to move students beyond the point and click to help them understand why and when they would perform a skill in MS Office Excel.