Decoding the Social World

Decoding the Social World
Author: Sandra Gonzalez-Bailon
Publisher: MIT Press
Total Pages: 257
Release: 2017-12-22
Genre: Social Science
ISBN: 0262343460

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How data science and the analysis of networks help us solve the puzzle of unintended consequences. Social life is full of paradoxes. Our intentional actions often trigger outcomes that we did not intend or even envision. How do we explain those unintended effects and what can we do to regulate them? In Decoding the Social World, Sandra González-Bailón explains how data science and digital traces help us solve the puzzle of unintended consequences—offering the solution to a social paradox that has intrigued thinkers for centuries. Communication has always been the force that makes a collection of people more than the sum of individuals, but only now can we explain why: digital technologies have made it possible to parse the information we generate by being social in new, imaginative ways. And yet we must look at that data, González-Bailón argues, through the lens of theories that capture the nature of social life. The technologies we use, in the end, are also a manifestation of the social world we inhabit. González-Bailón discusses how the unpredictability of social life relates to communication networks, social influence, and the unintended effects that derive from individual decisions. She describes how communication generates social dynamics in aggregate (leading to episodes of “collective effervescence”) and discusses the mechanisms that underlie large-scale diffusion, when information and behavior spread “like wildfire.” She applies the theory of networks to illuminate why collective outcomes can differ drastically even when they arise from the same individual actions. By opening the black box of unintended effects, González-Bailón identifies strategies for social intervention and discusses the policy implications—and how data science and evidence-based research embolden critical thinking in a world that is constantly changing.

Data Analytics Decoded

Data Analytics Decoded
Author: R Parvin
Publisher: Independently Published
Total Pages: 0
Release: 2024-03-06
Genre: Computers
ISBN:

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Data Analytics Decoded: A Beginner's Handbook Understanding Key Concepts, Tools, and Strategies in Data Analytics In today's data-driven world, understanding how to analyze and interpret information is an invaluable skill. "Data Analytics Decoded" is your indispensable guide, demystifying the fundamentals of data analysis and empowering you to make informed, impactful decisions. This comprehensive handbook is designed for anyone seeking to unlock the power of data, whether you're a: Student: Gain a strong foundation in the principles that drive modern businesses and cutting-edge research. Professional: Upskill and discover how data analytics can optimize your work, drive efficiency, and elevate your strategic insights. Curious Individual: Uncover the hidden patterns in the world around you and make more informed choices in your personal life. --- "Data Analytics Decoded" will take you on an engaging journey, where you will: Grasp the essentials of data types, formats, and collection methods. Learn how to clean, transform, and prepare data for powerful analysis. Master the core pillars of data analytics (descriptive, diagnostic, predictive). Explore a range of powerful analytical tools and visualization techniques. Understand how to communicate data findings effectively to influence decisions. Discover diverse career paths within the booming field of data analytics. --- Embark on this accessible learning path and develop the confidence to wield data as your most potent tool. Start turning raw information into insights that give you a competitive edge.

Decoding Data: A Comprehensive Guide to Data Analysis

Decoding Data: A Comprehensive Guide to Data Analysis
Author: Md Fardaous Ahmed
Publisher: Ocleno
Total Pages: 19
Release: 2024-06-06
Genre: Computers
ISBN:

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Unlock the power of data with "Decoding Data," the ultimate guide for anyone looking to master the art and science of data analysis. Whether you're a seasoned analyst, a business professional, or a curious newcomer, this book will equip you with the skills and knowledge needed to navigate the vast landscape of data in today's digital age. Explore the essentials of data collection and management, dive deep into data cleaning and preprocessing techniques, and discover the transformative potential of exploratory data analysis. From the fundamentals of statistical analysis and hypothesis testing to the cutting-edge applications of machine learning, "Decoding Data" covers it all. Learn advanced data analysis techniques, including time series analysis, text mining, and big data analytics. Understand how to interpret and communicate your findings effectively, ensuring that your data-driven insights lead to impactful decision-making. Each chapter is packed with practical examples, real-world case studies, and hands-on tools to guide you every step of the way. "Decoding Data" is more than just a textbook—it's a comprehensive resource designed to make data analysis accessible, engaging, and above all, actionable. Transform your approach to data and unlock new opportunities for innovation and growth with this indispensable guide. Join the ranks of data-savvy professionals and let "Decoding Data" be your companion on the journey to mastering data analysis. Your future in data starts here.

Statistical Data Analysis Explained

Statistical Data Analysis Explained
Author: Clemens Reimann
Publisher: John Wiley & Sons
Total Pages: 380
Release: 2011-08-31
Genre: Science
ISBN: 1119965284

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Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Decoding Talent

Decoding Talent
Author: Eric Sydell
Publisher: Greenleaf Book Group
Total Pages: 250
Release: 2022-03-15
Genre: Business & Economics
ISBN: 1639080104

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Harness the power of artificial intelligence in hiring The typical hiring process is fraught with complexity, inefficiency, and bias and often shuts out the most talented candidates. Decoding Talent: How AI and Big Data Can Solve Your Company’s People Puzzle makes the case for using complex advanced technologies to move past these problems toward effortless optimal candidate decisions. AI experts Eric Sydell, Mike Hudy, and Michael Ashley explain why the traditional resume-based process is out of date, why hiring is difficult, the cost of bad people decisions, how bias interferes in hiring practices, and how AI can address these problems. Decoding Talent reveals that using AI in hiring doesn’t require your human resource professionals to unlearn and relearn their craft; rather, machine learning can complement their skills by consolidating and analyzing data to recommend actions. Imagine a world in which you didn’t have to wonder: Who is the best candidate for the job? What is the return on investment of our hiring process? Is our hiring process fair and equitable? Is our human talent deployed optimally across our organization? What can human resources do to better drive business outcomes for our company? Is our candidate experience adding value to our brand? Incorporating scientifically based hiring can make this world a reality, benefiting both your company and the candidates for hire.

Learning Analytics Explained

Learning Analytics Explained
Author: Niall Sclater
Publisher: Routledge
Total Pages: 302
Release: 2017-02-17
Genre: Education
ISBN: 1317394550

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Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
Author: Haldorai, Anandakumar
Publisher: IGI Global
Total Pages: 263
Release: 2019-09-20
Genre: Computers
ISBN: 1522597522

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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Decoding Data

Decoding Data
Author: Ryan Mitchell
Publisher:
Total Pages: 0
Release: 2024-03-27
Genre: Business & Economics
ISBN:

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Welcome to "Decoding Data: A Beginner's Journey into Analytics - Navigating the World of Numbers for Actionable Insights." This e-book serves as your compass in the vast landscape of analytics, providing a comprehensive and accessible guide for beginners eager to embark on their journey into the world of data. The explosion of data in various industries has highlighted the need for individuals who can navigate and interpret this information effectively. Whether you're a student, professional, or someone with a keen interest in understanding the language of numbers, this book is crafted to demystify the complexities of analytics and empower you to harness its potential. We kick off our journey by laying the foundation with a primer on the basics of data, unraveling its various types, and showcasing the significance of clean, organized data in the analytical process. As we progress, we delve into the language of analytics, equipping you with the terminology and concepts necessary for fluent communication in this field.

Decoded

Decoded
Author: Phil Barden
Publisher: John Wiley & Sons
Total Pages: 291
Release: 2013-03-04
Genre: Business & Economics
ISBN: 1118345606

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In this groundbreaking book Phil Barden reveals what decision science explains about people’s purchase behaviour, and specifically demonstrates its value to marketing. He shares the latest research on the motivations behind consumers’ choices and what happens in the human brain as buyers make their decisions. He deciphers the ‘secret codes’ of products, services and brands to explain why people buy them. And finally he shows how to apply this knowledge in day to day marketing to great effect by dramatically improving key factors such as relevance, differentiation and credibility. Shows how the latest insights from the fields of Behavioural Economics, psychology and neuro-economics explain why we buy what we buy Offers a pragmatic framework and guidelines for day-to-day marketing practice on how to employ this knowledge for more effective brand management - from strategy to implementation and NPD. The first book to apply Daniel Kahneman’s Nobel Prize-winning work to marketing and advertising Packed with case studies, this is a must-read for marketers, advertising professionals, web designers, R&D managers, industrial designers, graphic designers in fact anyone whose role or interest focuses on the ‘why’ behind consumer behaviour. Foreword by Rory Sutherland, Executive Creative Director and Vice-Chairman, OgilvyOne London and Vice-Chairman,Ogilvy Group UK Full colour throughout

The Decoded Company

The Decoded Company
Author: Leerom Segal
Publisher: Penguin
Total Pages: 215
Release: 2014-02-20
Genre: Business & Economics
ISBN: 0698152158

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A powerful guide to building a data-centric corporate culture that unleashes talent and improves engagement Amazon delights customers with recommendations that are spot on. Google amazes us by generating answers before we've even finished asking a question. These companies know who we are and what we want. The key to their magic is Big Data. Personalizing the consumer experience with the collection and analysis of consumer data is widely recognized as one of the biggest business opportunities of the 21st century. But there is a flip side to this that has largely been missed. What if we were able to use data about employees to personalize and customize their experience - to increase their engagement, help them learn faster on the job, and figure out which teams they should be on? In this book, Leerom and his colleagues outline the six principles they've used to decode work and unlock the maximum potential of their talent, and share success stories from other organizations that have embraced this approach. The Decoded Company is an actionable blueprint for any company that wants the best from its people, and isn't afraid of radical approaches to get it. Leerom Segal is the president and CEO of Klick and has been named "Entrepreneur of the Year" by the Business Development Bank of Canada, won the "Young Entrepreneur of the Year" award from Ernst and Young, and was named to Profit Magazine's Hall of Fame as the youngest CEO ever to lead a nonprofit company. Aaron Goldstein is the co-founder of Klick and is a Senior Certified Project Manager Professional. Jay Goldman was Head of Marketing at Rypple, a venture-backed startup acquired by Salesforce in 2012 and now known as Work.com. He is the author of the O'Reilly Facebook Cookbook, and he has been published in the Harvard Business Review. Rahaf Harfoush is the author of several books including Yes We Did. She was a contributor to the best-selling Wikinomics and Grown Up Digital.