Data Science For Executives
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Data Science For Executives
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Author : Nir Kaldero
language : en
Publisher:
Release Date : 2018
Data Science For Executives written by Nir Kaldero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Executive Data Science
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Author : Roger Peng
language : en
Publisher:
Release Date : 2016-08-03
Executive Data Science written by Roger Peng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-03 with Business & Economics categories.
In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Data Science
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Author : Field Cady
language : en
Publisher: John Wiley & Sons
Release Date : 2020-11-25
Data Science written by Field Cady and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Business & Economics categories.
Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the "business side" of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies. Data Science: The Executive Summary covers topics like: Assessing whether your organization needs data scientists, and what to look for when hiring them When Big Data is the best approach to use for a project, and when it actually ties analysts’ hands Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems How many techniques rely on dubious mathematical idealizations, and when you can work around them Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists themselves will improve their technical work with insights into the goals and constraints of the business situation.
How To Talk To Data Scientists
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Author : Jeremy Elser
language : en
Publisher:
Release Date : 2021-08-05
How To Talk To Data Scientists written by Jeremy Elser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with Business & Economics categories.
Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change- big data, data science, machine learning, deep learning, and artificial intelligence -the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning.After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists.This book provides business executives with a concrete exercise, populating a "Master Table," accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems-the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.
Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data
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Author : Shitalkumar R Sukhdeve
language : en
Publisher: Independently Published
Release Date : 2020-11-27
Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data written by Shitalkumar R Sukhdeve and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with categories.
Review: "I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India "It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book.", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem LtdWhy should you read this book? 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate. Is it not surprising to know when data science and AI are in the top trend? If you are looking for a career in data science or looking for leadership, these insights may disturb you. Don't worry, "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will -Burst the myths around data science, AI & big data-Presents the real business scenarios -Take you on the journey of data science, AI & big data even if you are an ultimate beginner.-Introduce you to the essential skills of success in this field -Develop a leadership mindset by cutting edge methodologies & strategies-Make you aware of technical trends around it-Develop technical skills with R, Python, Machine learning with big data as well as business skills-Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field. Each day counts. So as your steps. Step up immediately and begin your journey to your dreams of data science and AI.
Bulletin Of The Society To Promote The Science Of Management
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Author : Society to Promote the Science of Management
language : en
Publisher:
Release Date : 1921
Bulletin Of The Society To Promote The Science Of Management written by Society to Promote the Science of Management and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1921 with Factory management categories.
Management Science In Business
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Author : Stanley J. Pokempner
language : en
Publisher:
Release Date : 1977
Management Science In Business written by Stanley J. Pokempner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Business & Economics categories.
Bulletin Of The Society To Promote The Science Of Management
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Author :
language : en
Publisher:
Release Date : 1915
Bulletin Of The Society To Promote The Science Of Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1915 with Factory management categories.
The Decision Maker S Handbook To Data Science
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Author : Stylianos Kampakis
language : en
Publisher: Apress
Release Date : 2019-11-26
The Decision Maker S Handbook To Data Science written by Stylianos Kampakis and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Computers categories.
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Understand how data science can be used within your business. Recognize the differences between AI, machine learning, and statistics. Become skilled at thinking like a data scientist, without being one. Discover how to hire and manage data scientists. Comprehend how to build the right environment in order to make your organization data-driven. Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.
Data Science For Business Leaders 2025 And Beyond
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Author : Angshuman Chatterjee
language : en
Publisher: Independently Published
Release Date : 2025-08-07
Data Science For Business Leaders 2025 And Beyond written by Angshuman Chatterjee and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-07 with Business & Economics categories.
"Data Science For Business Leaders 2025 And Beyond" - BY ANGSHUMAN CHATTERJEE The business landscape has shifted, and there's no turning back. In 2025, data isn't just a byproduct of business operations-it's the engine of competitive advantage. Whether you're a CEO seeking new revenue streams, a product leader enhancing customer experiences, or a senior executive transforming your organization, this book is your strategic compass for the age of data-driven leadership. Organizations that lead in data maturity are 23% more profitable, 19% more efficient, and faster at adapting to change. Yet, many business leaders struggle to turn data science into measurable outcomes. This book bridges the critical gap between data potential and real-world business impact-without drowning you in technical jargon. Unlike traditional data science texts, this is not a manual for coders or analysts. Instead, it's a strategy playbook for decision-makers-focusing on leadership, execution, ROI, and future-readiness in the data-driven era. What You'll Learn How to evolve from data-aware to truly data-driven leadership Proven frameworks for measuring and maximizing data science ROI How to build and structure high-performing data teams Strategic guidance on integrating AI, ML, and generative technologies Playbooks to address governance, ethics, and emerging global privacy regulations Real-world case studies from Microsoft, financial services, e-commerce, and manufacturing Why data-driven leadership is the defining capability of the modern enterprise. Part I: Foundations of Data-Driven Leadership Part II: Building Data Capabilities Part III: Applied Data Science for Business Impact Part IV: Measuring Success & Future Planning Part V: Synthesis & Action Planning Comprehensive Implementation Guide for Executives and includes - Business Technology Business Intelligence Tools Data Governance Organizational Transformation Digital Transformation Strategy AI in Business Decision-Making Perfect For: C-Suite Executives Business Unit Heads Product & Strategy Leaders Digital Transformation Officers Aspiring Data-Driven Leaders The journey from data-aware to data-driven isn't just about technology-it's about vision, leadership, and execution. This book equips you with the strategies, tools, and insights needed to lead that transformation-today and through 2030. Get your copy now and take the first step toward building a future-ready, data-driven enterprise. Focus areas include - how to use data science in business non-technical data science guide executive guide to AI and data predictive analytics for leaders data maturity roadmap 2025 generative AI for enterprises data strategy and governance playbook machine learning ROI for business CEO guide to artificial intelligence building a data-driven company ata science for business leaders data and AI strategy for executives, data driven leaders data driven decision making, leading with AI and Analytics data science for managers business intelligence 2025 machine learning business applications enterprise AI transformation and data science for business