Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors-both SAS, statistics, analytics, and big data experts-first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Going Corporate: A Geek's Guide shows technology workers how to gain the understanding and skills necessaryfor becoming an effective, promotable manager orsought-after consultant or freelancer. Technology professionals typically dive deeply into small pieces of technologylike lines of code or the design of a circuit. As a result, they may have trouble seeing the bigger picture and how their work supports an organization's goals. But ignoring or dismissing the business or operational aspects of projects and products can lead to career stagnation. In fact, understanding the larger business environmentis essential for those who want a management job, a consulting gig, or to one daystart a business. It's also essential for those who have been promoted and find themselves flailing for lack of a business education. Going Corporate: A Geek's Guide to the rescue This book is designed to help readers gain management skills, insight, and practical understanding of essential business and operational topics. Readers will learn to develop project and program management skills, deliver service efficiently and improve processes, implement governance, analyze financial statements, and much more. After reading this book, technology professionals will understand such things as enterprise architecture, IT operations management, strategic and financial managementand how each relates to the others. Detailed case studies help cement an understanding of how an IT organization and its workers succeed in the 21st century. This book: Illustrates how pieces of the business puzzle fit together to form a robust enterprise Preparesreaders to get promoted into management Explains the key management skills and knowledge required for a successful IT career What you'll learn The skills and knowledge it takes to be an effectiveproject, program, or mid-level manager, in-demand consultantoreven a C-level executive How your current job fits into the bigger picture What your organization must do to create customers and make a profit How good governance turns strategy into effective action How understanding financescorporate or departmentalcan help unlockbusiness potential The toolsnecessaryfor making soundoperational decisions Who this book is for

Workers in the technology trenches wondering how to improve career potential Technology professionals aiming for management positions Fresh graduates startinga career in the corporate world Recently promoted managers with little or no business education Students in technical or business programs

This book will also be useful for practicing engineers and managers as a refresher course on operational challenges encountered in the day-to-day life of technology executives. Table of Contents Understanding Enterprise IT Project Management: A Different Perspective Delivery and Program Management Service Delivery Management Portfolio Management Presales, Bid Management, and Sales and Marketing Infrastructure Elements The Cloud: Fundamentals, Strategy, and Economics The Fascinating World of Finance IT and Business Processes IT and Business Analytics IT and Operations Management Corporate Governance in IT Companies IT in Modern Vehicle Development Programs Streamlining IT Using Service-Oriented Architecture Strategic Thinking and the Evolution of Information Systems What Managers Are Discussing What CIOs Are Discussing References and Suggested Readings

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Explore the principles and practices of machine learning and deep learning This comprehensive textbook lays out the theories and applications of machine learning and deep learning in a style that is approachable for students and working professionals at all math skill levels. You will discover how to handle data, regression and logistic regression, decision trees, cross-validation techniques and error testing, artificial neural networks (ANN, CNN and RNN), random forests, boosting, and more. Machine Learning and Deep Learning Using Python and TensorFlow includes valuable case studies across professional domains, including banking, insurance, e-commerce, retail, and healthcare. The book presents examples using both Python and TensorFlow programming languages and clearly demonstrates how to utilize this cutting-edge technology in today's "smart" devices. * Presented in a mathematically non-rigorous way * Includes image classification and computer vision tasks * Written by a pair of business analytics experts