Student Study Guide With IBM (R) SPSS (R) Workbook for Research Methods, Statistics, and Applications 3e gives students opportunities to practice and apply their knowledge. Written by the authors of the main text, this study guide follows the textbook and offers practice quizzes, in-depth exercises, research application questions, and instructions and exercises for SPSS.

This book integrates theoretical advances and empirical data on Enterprise Governance in Information Technology (EGIT) with practical applications based on numerous case examples. The third revised edition of Enterprise Governance of Information Technology provides professionals and students with the most recent research advancements as well as an in-depth discussion of the recently-introduced Control Objectives for Information and Related Technologies (COBIT) 2019 framework which can be used...

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, a...

A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python.

Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal m...

Praise for the First Edition:". . .

the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation." Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly describe...

Master business modeling and analysis techniques with Microsoft Excel and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. A lot has changed in Office 365 since the previous edition. This new edition covers new functions (STOCKHISTORY, LET, LAMBDA, XLOOKUP) and new array functions. It also covers the new Data types t...

Step by step, students will learn how to transform simple tables into full analytical models of immense power. They will master data modeling through a collection of realistic scenarios of increasing sophistication. For each, the authors start with a simple "naïve" model that can't provide robust solutions. Next, they guide readers to update and improve the model, so it can deliver the knowledge and insights they really need.

Exam Ref DA-100 Analyzing Data with Microsoft Power BI offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on specific areas of expertise modern IT professionals need to demonstrate real-world mastery of Power BI data analysis and visualization. Coverage includes:

- Preparing data: acquiring, profiling, cleaning, transforming, and loading data

- Modeling data: designing and developing data mo...

Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables–and how to effectively build a relational data source inside an Excel workbook.