Data Science Study

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.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, treating men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women.

Bring the world of big data into focus with "Data Science in Action." This comprehensive guide delivers a clear, definitive exploration of data science for novices and experts alike. Starting with a fascinating introduction into the world of data science, this eBook covers everything from basic definitions to the roles and responsibilities within the field. It’s time to demystify the vocabulary and discover what it really means to be a data scientist. Dive deep into the mechanics of data, understand its types, uncover the importance of data collection and learn how to manage it ...

Are you intrigued by the world of AI and data engineering? Do you find yourself captivated by the potential of these technologies to transform businesses and industries? If so, Data Engineering and AI for Beginners is the introductory guide you've been searching for. In today’s fast evolving digital landscape where data is lifeblood, those who harness its flow hold the keys to game-changing insights. This book addresses the very challenges and questions that have been on your mind: What is Data Engineering? How Does AI Fit into the Picture? Is This for Me, a Beginner? What Tools and ...

We've all heard that a picture is worth 1,000 words, but what if we don't understand what we're looking at? Social media has made charts, infographics, and diagrams ubiquitous - and easier to share than ever. However, they can also lead us astray. Charts lie in a variety of ways - displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty. In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories.

In her new audiobook, Invisible Women, award-winning campaigner and writer Caroline Criado Perez shows us how, in a world largely built for and by men, we are systematically ignoring half the population. She exposes the gender data gap - a gap in our knowledge that is at the root of perpetual, systemic discrimination against women and that has created a pervasive but invisible bias with a profound effect on women’s lives.

Designed for students and professionals in exercise science, kinesiology, and sports medicine, Muscle University: Research Foundations in Exercise Science provides an authoritative, practical, and comprehensive guide to conducting rigorous scientific research. This textbook combines foundational research theory with hands-on laboratory practice, equipping readers with the critical skills required for designing, implementing, and analyzing exercise science research. Key Features Include: Research Foundations: Clear, accessible explanations of experimental and observational research designs, ...

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless.

What happens when a woman seeking an abortion is turned away? To answer this question, Diana Greene Foster assembled a team of scientists—psychologists, epidemiologists, demographers, nurses, physicians, economists, sociologists, and public health researchers—to conduct a 10-year study. They followed a thousand women from across America, some of whom received abortions, some of whom were turned away. Now, for the first time, Dr. Foster presents the results of this landmark study in one extraordinary, groundbreaking book.

(ISC)2 CCSP Certified Cloud Security Professional Official Study Guide is your ultimate resource for the CCSP exam. Covering all CCSP domains, this book walks you through architectural concepts and design requirements, cloud data security, cloud platform and infrastructure security, cloud application security, operations, and legal and compliance with real-world scenarios to help you apply your skills along the way.

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish ...

Every time we Google something, Facebook someone, or just carry a phone, we create data. Yet, we do not benefit from this wealth of information as much as we should. Andreas Weigend - an advisor to Alibaba, BMW, Hyatt, MasterCard, and Lufthansa, among others - wants to change that. In Data for the People, he proposes six basic data rights that we all need to make better decisions. Big data is here to stay. The time has come to shift the balance of power back to the individual.

When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?

Conquer your dissertation with confidence! Academic Dissertations: Write Dissertations Confidently is your friendly guidebook, co-written with a successful PhD student who's been there, done that. Follow Panyim's journey as he tackles the dissertation process alongside his organized and supportive friend, Nyakor. This book provides you with: Actionable steps: Master every phase, from choosing a strong topic to crafting a compelling defense presentation. Real-world scenarios: Learn from relatable case studies as Panyim overcomes common dissertation hurdles like data collection anxiety. ...

Virtually anyone who has ever watched a profound movie, a powerful TV show, or read a moving novel understands that entertainment can and does affect us in surprising and significant ways. But did you know that our most popular forms of entertainment can have a direct physical effect on us, a measurable impact on society, geopolitics, the economy, and even the future itself? In You Are What You Watch, Pulitzer Prize-winning author Walter Hickey proves how exactly how what we watch (and read and listen to) has a far greater effect on us and the world at large than we imagine.