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Data Science for Business and Decision Making

2019-04-11 Business & Economics
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Release : 2019-04-11
Genre : Business & Economics
Kind : eBook
Book Rating : 174/5 ( reviews)

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Book Synopsis Data Science for Business and Decision Making by : Luiz Paulo Fávero

Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero. This book was released on 2019-04-11. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Data Science for Business and Decision Making

2019-04-22 Business & Economics
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Release : 2019-04-22
Genre : Business & Economics
Kind : eBook
Book Rating : 168/5 ( reviews)

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Book Synopsis Data Science for Business and Decision Making by : Luiz Favero

Download or read book Data Science for Business and Decision Making written by Luiz Favero. This book was released on 2019-04-22. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®.

Data Science for Business

2013-07-27 Computers
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Release : 2013-07-27
Genre : Computers
Kind : eBook
Book Rating : 28X/5 ( reviews)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost. This book was released on 2013-07-27. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Business Analytics

2017 Decision making
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Release : 2017
Genre : Decision making
Kind : eBook
Book Rating : 391/5 ( reviews)

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Book Synopsis Business Analytics by : S. Christian Albright

Download or read book Business Analytics written by S. Christian Albright. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt:

Business Analytics for Decision Making

2018-09-03 Business & Economics
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Release : 2018-09-03
Genre : Business & Economics
Kind : eBook
Book Rating : 597/5 ( reviews)

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Book Synopsis Business Analytics for Decision Making by : Steven Orla Kimbrough

Download or read book Business Analytics for Decision Making written by Steven Orla Kimbrough. This book was released on 2018-09-03. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.

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