Data Science Thinking

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: How does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field for next-generation science, technology, economy, profession and education? What is responsible for shaping the mindset and skillset of data scientists?

The book paints a comprehensive picture of data science: as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, as a new profession and economy from the business perspective.

The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning from its evolution, concepts, thinking, challenges, discipline, and foundation all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book is divided into three parts, each detailing layers of these different aspects.

The book is intended for decision-makers, data managers (e.g., analytics portfolio managers, business analytics managers, chief data analytics officers, chief data scientists, and chief data officers), policy makers, management and decision strategists, research leaders, and educators who are responsible for pursuing new scientific, innovation, and industrial transformation agendas, enterprise strategic planning, a next-generation profession-oriented course development, as well as those who are involved in data science, technology, and economy from an advanced perspective.

Research students in data science-related courses and disciplines will find the book useful for positing their innovative scientific journey, planning their unique and promising career, and competing within and being ready for the next generation of science, technology, and economy.

[FCSSU1]I feel like the changing between plural and singular makes this sentence a little clunky

[FCSSU2]Can we get rid of some of these words?

[FCSSU3]Can we take these words out?