Research Data Science

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.

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.

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, ...

Unlock the power of discovery with "Citizen Scientists Unite," the ultimate guide for anyone eager to create meaningful change through science. Whether you're a curious beginner or a seasoned enthusiast, this comprehensive eBook leads you through the dynamic world of citizen science—where every individual’s contribution matters. Start your journey by exploring the essence of data collection and uncovering the transformative potential behind citizen science projects. Dive deep into environments both local and global, witnessing firsthand the surprisingly far-reaching impact of community ...

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. ...

Elevate the Debate helps researchers of all types more effectively communicate their work in any number of areas, from traditional news outlets to the new media platforms of the digital age. After listening to this book, you will be inspired and equipped to use traditional and digital media environments to your advantage. This real-world guide helps you present your data-driven research with greater clarity, coherence, and impact.

One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. But anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner.

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 ...

Two books in one - use the power of analytics and probability to discover what your target customers are thinking and how to use that as an edge in identifying solutions and strategies to help you move forward. Includes: Analytics and Probability.

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.

While everyone is talking about "big data", the truth is that understanding the "little data" - the stats that underlie newspaper headlines, stock reports, weather forecasts, and so on - is what helps you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day but has no idea how to interpret it correctly. Everydata explains, through the eyes of an expert economist and statistician, how to decipher the small bytes of data we consume in a day.

While millions of consumers carry on unaware, powerful companies are racing to gain more knowledge and data than anyone, including any government, has ever had. The goal is to understand consumer behavior and desires, from mundane matters to our most private and intimate affairs. This massive trove of data represents an immense prize for these companies. In economic terms it is one of the most valuable assets on the planet.

This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments - also known as randomized controlled trials - designed to test the impact of different online experiences. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world.

Python Data Science is a complete guide on Python for every person who is looking to expand their current or future business, learn the basics of data science, and how Python programming can be used for it. There are so many businesses that are going to benefit when it comes to working with data analysis and seeing this work for some of their needs. It is always a good idea to learn a bit more about this process and how you are able to really use it to learn more about your customers, learn how to beat out your competition, and so much more.

In this book, you’ll find methods and techniques to organize your data, extract the information, and analyze it. There’s a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business.

Since the public release of Open AI’s ChatGPT, Google’s Bard, and other similar systems, some Members of Congress have expressed interest in the risks associated with “generative artificial intelligence (AI).” Although exact definitions vary, generative AI is a type of AI that can generate new content—such as text, images, and videos—through learning patterns from pre-existing data.