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| Author | : Lapin0155006304 |
| Publisher | : Wadsworth Publishing Company |
| Total Pages | : 356 |
| Release | : 1993 |
| Genre | : Business & Economics |
| ISBN | : 9780534510633 |
This book offers concise coverage of descriptive and inferential statistics and basic methods found in the one semester course. It contains early introduction to survey sampling and case studies appears throughout.
| Author | : Lorna M. Daniells |
| Publisher | : Univ of California Press |
| Total Pages | : 754 |
| Release | : 1993 |
| Genre | : Business & Economics |
| ISBN | : 9780520081802 |
This is the reference work that librarians and business people have been waiting for--Lorna Daniells's updated guide to selected business books and reference sources. Completely revised, with the best, most recent information available, this edition contains several new sections covering such topics as competitive intelligence, economic and financial measures, and health care marketing. Handbooks, bibliographies, indexes and abstracts, online databases, dictionaries, directories, statistical sources, and periodicals are also included. Speedy access to up-to-date information is essential in the competitive, computerized business world. This classic guide will be indispensable to anyone doing business research today.
| Author | : Matt Taddy |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 350 |
| Release | : 2019-08-23 |
| Genre | : Business & Economics |
| ISBN | : 1260452786 |
Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling Understand how use ML tools in real world business problems, where causation matters more that correlation Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.
| Author | : Ignacio Castillo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 850 |
| Release | : 2023-05-08 |
| Genre | : |
| ISBN | : 1119983223 |
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.
| Author | : Charles L. Olson |
| Publisher | : Pearson Scott Foresman |
| Total Pages | : 952 |
| Release | : 1983 |
| Genre | : Business & Economics |
| ISBN | : |
| Author | : Justin Bateh |
| Publisher | : Business Expert Press |
| Total Pages | : 214 |
| Release | : 2015-12-16 |
| Genre | : Business & Economics |
| ISBN | : 1631572733 |
More and more organizations around the globe are expecting that professionals will make data-driven decisions. Employees, team leaders, managers, and executives that can think quantitatively should be in high demand. The goal of this book is to increase ability to identify a problem, collect data, organize, and analyze data that will help aid in making more effective decisions. This book will provide you with a solid foundation for thinking quantitatively within your company. To help facilitate this objective, this book follows two fictitious companies that encounter a series of business problems, while demonstrating how managers would use the concepts in the book to solve these problems and determine the next course of action. This book is for beginners and does not require prior statistical training. All computations will be completed using Microsoft Excel.
| Author | : Ian Diamond |
| Publisher | : SAGE |
| Total Pages | : 316 |
| Release | : 2013-02-26 |
| Genre | : Social Science |
| ISBN | : 1446223485 |
`The clarity, simplicity and use of many practical examples makes this book very useful, primarily for under- and postgraduate students′ - Journal of Biosocial Science With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences. It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social scientist. The authors explain the right ways to present data, how to describe a set of data using summary statistics and how to infer what is going on in a population when all you have to go on is the sample. The book uses small data sets to help students understand the basic principles, and no mathematics or statistical background is assumed.
| Author | : J. K. Sharma |
| Publisher | : Pearson Education India |
| Total Pages | : 752 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 9788177586541 |
In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions.
| Author | : Amar Sahay |
| Publisher | : Business Expert Press |
| Total Pages | : 206 |
| Release | : 2018-08-23 |
| Genre | : Business & Economics |
| ISBN | : 1631573322 |
Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.
| Author | : J.K. Sharma |
| Publisher | : Vikas Publishing House |
| Total Pages | : 737 |
| Release | : 2018 |
| Genre | : Business & Economics |
| ISBN | : 9325980819 |
The fourth edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables readers to make more considered and informed business decisions. Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the students understanding of basic statistical techniques. Business Statistics, 4e, serves as a core textbook for students of management, commerce and computer science studying business statistics for degrees in BBA/MBA/PGDBM, BCom /MCom, CA/ICWA, and BE/ BTech /MCA as well as for those preparing for professional and competitive examinations. Key Features Learning Objectives clearly outline the learning outcomes of each chapter Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves
