The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Weybrew has developed the ABC model of stress upon a foundation of nearly three decades of stress research with nuclear submariners. With its connotation as a fundamental or elementary principle of stress dynamics, the ABC model is built upon three basic concepts in learning and vector psychology: Antecedent conditions, Behavior, and Consequences. One of the central features of Weybrew's research is the inclusion of preventive and therapeutic strategies for acute and chronic patterns of stress reactivity. These intervention techniques provided here have heuristic value for the researcher and teacher alike, while being described in language readily understood by the lay reader.

Future Application and Middleware Technology on e-Science presents selected papers from the 2008 Korea e-Science All-Hands-Meeting (AHM 2008). Hosted by the Korea Institute of Science and Technology Information, this meeting was designed to bring together developers and users of e-Science applications and enabling information technologies from international and interdisciplinary research communities. The AHM 2008 conference served as a forum for engineers and scientists to present state-of-the-art research and product/tool developments, and to highlight related activities in all fields of e-Science. The works presented in this edited volume bring together cross-disciplinary information on e-Science in one cohesive source. This book is suitable for the professional audience composed of industry researchers and practitioners of e-Science. This volume should also be suitable for advanced-level students in the field.

Explains the scope and purpose of environmental regulations and provides a condensed yet comprehensive treatment of interrelated government acts and programs, using plain language that avoids jargon and legalese. Early chapters describe the scope of environmental protection in the US, and more.

Hands-on tutorials cover Word versions 4.0 and 5.0. Notes on earlier versions are provided along with a guide to setting up the software and a summary of commands. No bibliography. Annotation copyrighted by Book News, Inc., Portland, OR

"Fills the need for a companion text to introductory statistics courses on the collection and use of social science data". -- Reference & Research Book News

Professional publication of the RD & A community.

(1E 1985) Covers

Reproducible activities, developed in concert with the National Science Education Standards, that build a greater understanding of chemical reations, calorimetry, simple electrochemistry, acids & bases, and more.

1990: "A comprehensive international guide to ... organizations, systems, and services involved in the production and distribution of information in electronic form.

On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move