With proven pedagogy that emphasizes critical-thinking, problem-solving, and in-depth coverage, New Perspectives helps you develop the Microsoft Office 2013 skills you need to be successful in college and beyond. Updated with all new case-based tutorials, New Perspectives Microsoft Office 2013 engages you in applying skills to real-world situations, making concepts relevant. A new Troubleshoot type of case problem enhances critical thinking. As always, New Perspectives improves learning outcomes and transference of skills by helping you understand the importance of what you're learning. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The case-based, problem-solving approach to learning Office 2003 skills. This Premium Edition includes an integrated training solution to transform the way your students learn Office 2003 skills! Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Loved by instructors for its visual and flexible way to build computer skills, the Illustrated Series is ideal for teaching Microsoft Office 2010 to both computer rookies and hotshots. Each two-page spread focuses on a single skill, making information easy to follow and absorb. Large, full-color illustrations represent how the students' screen should look. Concise text introduces the basic principles of the lesson and integrates a case study for further application.

Part of the New Perspectives series, this text offers a case-based, problem-solving approach and innovative technology for meaningful learning of Microsoft Office XP.

Presents a guide to Office Professional 2013, describing such tasks as creating documents, spreadsheets, and slide presentations; managing email; and organizing notes, covering the Microsoft programs Word, Excel, Access, OneNote, Publisher, Outlook, and PowerPoint.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details. Learn more about Power BI at https://powerbi.microsoft.com/.

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