Data Science for Business

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 414 pages
Book Rating : 4.80/5 ( download)

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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 and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. 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

Data Science for Entrepreneurship

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Author :
Publisher : Springer Nature
ISBN 13 : 303119554X
Total Pages : 532 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Data Science for Entrepreneurship by : Werner Liebregts

Download or read book Data Science for Entrepreneurship written by Werner Liebregts and published by Springer Nature. This book was released on 2023-03-23 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.

Big Data Analytics for Entrepreneurial Success

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Publisher : IGI Global
ISBN 13 : 152257610X
Total Pages : 300 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Big Data Analytics for Entrepreneurial Success by : Sedkaoui, Soraya

Download or read book Big Data Analytics for Entrepreneurial Success written by Sedkaoui, Soraya and published by IGI Global. This book was released on 2018-11-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for today’s organizations and entrepreneurs to implement a robust data strategy and industrialize a set of “data-driven” solutions to utilize big data analytics to its fullest potential. Big Data Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. Featuring coverage on a broad range of topics such as algorithms, data collection, and machine learning, this publication provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics. It is ideally designed for entrepreneurs, researchers, business owners, managers, graduate students, academicians, software developers, and IT professionals seeking current research on the essential tools and technologies for organizing, analyzing, and benefiting from big data.

From Science to Startup

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Publisher : Springer
ISBN 13 : 3319304240
Total Pages : 249 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis From Science to Startup by : Anil Sethi

Download or read book From Science to Startup written by Anil Sethi and published by Springer. This book was released on 2016-04-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book charts the experiences, pitfalls and knowledge behind leading scientific ideas to successful startups. Written by one of Switzerland's top serial entrepreneurs, this book is a must-read for scientists and academicians who want to see their idea turn into a product and change the market. It is also pertinent for finance and business professionals who aspire to become technology entrepreneurs. Starting with personal qualities of an entrepreneur, Anil Sethi discusses successful ideas, technology evaluation, team formation, patents and investor expectations. To guide the entrepreneur, this book also analyzes deal closing, equity conversion and ideal exit strategies to follow. Ultimately Anil Sethi reveals the 'inside track' which helps understand what drives entrepreneurs and what they wouldn't admit.

Lean Analytics

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098168151
Total Pages : 403 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Lean Analytics by : Alistair Croll

Download or read book Lean Analytics written by Alistair Croll and published by "O'Reilly Media, Inc.". This book was released on 2024-02-23 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Entrepreneurship and Big Data

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Publisher : CRC Press
ISBN 13 : 1000455696
Total Pages : 300 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Entrepreneurship and Big Data by : Meghna Chhabra

Download or read book Entrepreneurship and Big Data written by Meghna Chhabra and published by CRC Press. This book was released on 2021-09-30 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.

Data Science for Business

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449374298
Total Pages : 414 pages
Book Rating : 4.97/5 ( download)

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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 and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This broad, deep, but not-too-technical guide introduces you to 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. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.

Big Data for Entrepreneurship and Sustainable Development

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Publisher : CRC Press
ISBN 13 : 1000454401
Total Pages : 222 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Big Data for Entrepreneurship and Sustainable Development by : Mohammed El Amine Abdelli

Download or read book Big Data for Entrepreneurship and Sustainable Development written by Mohammed El Amine Abdelli and published by CRC Press. This book was released on 2021-12-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use Big Data to cut costs and minimize the waste of time. It offers how using Big Data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of Big Data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, and entrepreneurs and can also be of interest for transforming governments as well as businesses.

Entrepreneurship for Scientists and Engineers

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Publisher : Pearson
ISBN 13 : 9780132357272
Total Pages : 0 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Entrepreneurship for Scientists and Engineers by : Kathleen R. Allen

Download or read book Entrepreneurship for Scientists and Engineers written by Kathleen R. Allen and published by Pearson. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: KEY BENEFIT Essential business lessons for turning today's scientists and engineers into entrepreneurs in new technology companies. In today's global and interconnected world, students with a science or engineering background have ample opportunity to mesh their technical know-how with the free market. Yet, these same students lack the basic business skills to make competent business decisions. This book seeks to make students' first experience with entrepreneurship interesting and useful. KEY TOPICS Technology Entrepreneurship for Scientists and Engineers; Developing and Protecting Intellectual Property; Technology Entrepreneurship Strategy; Start-up Financial Strategy As the source of new discoveries and technologies, scientists and engineers are uniquely positioned to launch new business ventures based on cutting-edge discoveries. This book will teach those with no prior training how to start a company and grow their business through marketing and astute team building techniques.

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

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Publisher : McGraw Hill Professional
ISBN 13 : 1260452786
Total Pages : 384 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions by : Matt Taddy

Download or read book Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions written by Matt Taddy and published by McGraw Hill Professional. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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.