Author: Nitin Kale
Publisher:
ISBN: 9780997209204
Size: 43.98 MB
Format: PDF, Kindle
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Practical Analytics covers analytics concepts and activities in a way that provides real-world skill building while reinforcing fundamental concepts. This book provides a much needed approach to analytics through theory, applications, and hands-on experience using the latest industry tools. This book providea a comprehensive and self-contained overview of analytics. The reader will be able to learn and apply all the concepts in the book without excessive prerequisites.
Language: en
Pages: 428
Pages: 428
Practical Analytics covers analytics concepts and activities in a way that provides real-world skill building while reinforcing fundamental concepts. This book provides a much needed approach to analytics through theory, applications, and hands-on experience using the latest industry tools. This book providea a comprehensive and self-contained overview of analytics. The
Language: en
Pages: 576
Pages: 576
Make sense of your data and predict the unpredictable About This Book A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help
Language: en
Pages: 1009
Pages: 1009
A brand new collection introducing today's most powerful strategies and techniques for measuring and optimizing marketing… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative Books help you measure, analyze, and optimize every marketing investment you'll ever make Measuring and optimize your marketing investments is
Language: en
Pages: 256
Pages: 256
PROFITING FROM MARKETING ANALYTICS: YOUR COMPLETE EXECUTIVE ROADMAP “Solid ideas and experiences, well-told, for executives who need higher returns from their analytic investments. Captures many best practices that are consistent with our own experiences at Bain & Company, helping clients develop actionable strategies that deliver sustainable results.” —Bob Bechek, Worldwide
Language: en
Pages: 105
Pages: 105
This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for
Language: en
Pages: 256
Pages: 256
This book is about the process of using analytics and the capabilities of analytics in today’s organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science. Analytics
Language: en
Pages: 1110
Pages: 1110
With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning
Language: en
Pages: 840
Pages: 840
SPREADSHEET MODELING AND DECISION ANALYSIS, Seventh Edition, provides instruction in the most commonly used management science techniques and shows how these tools can be implemented using Microsoft Office Excel 2013. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook
Language: en
Pages: 256
Pages: 256
Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website.
Language: en
Pages: 396
Pages: 396
Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data—not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability