Download or read book Thinking Clearly with Data written by Ethan Bueno de Mesquita and published by Princeton University Press. This book was released on 2021-11-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises

Download or read book The Kaggle Book written by Konrad Banachewicz and published by Packt Publishing Ltd. This book was released on 2022-04-22 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn how Kaggle works and how to make the most of competitions from over 30 expert Kagglers Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML A concise collection of smart data handling techniques for modeling and parameter tuning Book DescriptionMillions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you’ll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won’t easily find elsewhere, and the knowledge they’ve accumulated along the way. As well as Kaggle-specific tips, you’ll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You’ll design better validation schemes and work more comfortably with different evaluation metrics. Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you. Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!What you will learn Get acquainted with Kaggle as a competition platform Make the most of Kaggle Notebooks, Datasets, and Discussion forums Create a portfolio of projects and ideas to get further in your career Design k-fold and probabilistic validation schemes Get to grips with common and never-before-seen evaluation metrics Understand binary and multi-class classification and object detection Approach NLP and time series tasks more effectively Handle simulation and optimization competitions on Kaggle Who this book is for This book is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this book useful. A basic understanding of machine learning concepts will help you make the most of this book.

Download or read book ECRM2016 Proceedings of the 15th European Conference on Research Methodology for Business Management written by Vladlena Benson and published by Academic Conferences and publishing limited. This book was released on 2016-05-20 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Driven written by Jeremy David Curuksu and published by Springer. This book was released on 2018-06-06 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a “scientific” introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship. It discusses the emerging role of information technologies in consulting activities and introduces the essential tools in data science, assuming no technical background. Drawing on extensive literature reviews with more than 200 peer reviewed articles, reports, books and surveys referenced, this book has at least four objectives: to be scientific, modern, complete and concise. An interactive version of some sections (industry snapshots, method toolbox) is freely accessible at econsultingdata.com.

Download or read book Data Driven Modeling Scientific Computation written by Jose Nathan Kutz and published by . This book was released on 2013-08-08 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Download or read book The business model cycle written by Sophia von Berg and published by Cuvillier Verlag. This book was released on 2020-12-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, firms all over the world have to deal with dynamic business environments. Fast-moving digitalization has made information more transparent, strengthening the role of the customer. At the same time, the provider can have a much closer relationship with the user, thanks to real-time communication. However, corporate practice does not have a process for developing dynamic business models, and user-centric business models that can be designed and changed using smart technologies have not yet been systematically integrated. To stay competitive, companies need to rise to this challenge. The aim of this dissertation was to develop a dynamic, user-centric process model for business model design and change, and to evaluate the model’s ability to maintain a competitive advantage in the mobility sector. First, the differences between static, dynamic, and user-centric business models and their corresponding attributes were deduced. Then, these findings were combined into a process model using system dynamics logic. This model considers the user a co-creator of value and helps managers react to real-time changes in their business model environment. Finally, a mobility sector case study is presented to highlight the relevance of this model to real-world application. This business model cycle (BMC) supports the strategic management of dynamic, user-centric business model design and change activities. It describes a step by step procedure of business model design that includes ideation, prototyping, and integration of business model options. Moreover, it allows continuous monitoring of the business model environment and adaption of the model accordingly. At the same time, bidirectional interaction between the user and provider is possible, allowing the provider to adapt to their users’ needs. The BMC is unique in that these processes can take place simultaneously. Finally, the real-world case study in the mobility sector confirmed that using the BMC for strategic management maintains a lasting competitive business advantage.

Download or read book Causal Inference in R written by Subhajit Das and published by Packt Publishing Ltd. This book was released on 2024-11-29 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the fundamentals to advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applications Key Features Explore causal analysis with hands-on R tutorials and real-world examples Grasp complex statistical methods by taking a detailed, easy-to-follow approach Equip yourself with actionable insights and strategies for making data-driven decisions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDetermining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making. This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You’ll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You’ll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data. By the end of this book, you’ll be able to confidently establish causal relationships and make data-driven decisions with precision.What you will learn Get a solid understanding of the fundamental concepts and applications of causal inference Utilize R to construct and interpret causal models Apply techniques for robust causal analysis in real-world data Implement advanced causal inference methods, such as instrumental variables and propensity score matching Develop the ability to apply graphical models for causal analysis Identify and address common challenges and pitfalls in controlled experiments for effective causal analysis Become proficient in the practical application of doubly robust estimation using R Who this book is for This book is for data practitioners, statisticians, and researchers keen on enhancing their skills in causal inference using R, as well as individuals who aspire to make data-driven decisions in complex scenarios. It serves as a valuable resource for both beginners and experienced professionals in data analysis, public policy, economics, and social sciences. Academics and students looking to deepen their understanding of causal models and their practical implementation will also find it highly beneficial.

Download or read book Computational Science and Its Applications ICCSA 2024 Workshops written by Osvaldo Gervasi and published by Springer Nature. This book was released on with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Econometrics written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-12-16 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Econometrics The field of econometrics involves the utilization of statistical techniques to analyze economic data with the objective of providing empirical evidence to economic relationships. More specifically, it refers to "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference." In a textbook that provides an introduction to economics, econometrics is described as a tool that enables economists to "sift through mountains of data to extract simple relationships." In the field of econometrics, Jan Tinbergen is identified as one of the two founding fathers. That other individual, Ragnar Frisch, was also the one who first used the phrase in the manner that it is used today. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Econometrics Chapter 2: Least squares Chapter 3: Gauss-Markov theorem Chapter 4: Regression analysis Chapter 5: Consistent estimator Chapter 6: Instrumental variables estimation Chapter 7: Probit model Chapter 8: Ordinary least squares Chapter 9: Simple linear regression Chapter 10: Seemingly unrelated regressions Chapter 11: Breusch-Pagan test Chapter 12: Cochrane-Orcutt estimation Chapter 13: Generalized least squares Chapter 14: Statistical model specification Chapter 15: Heteroskedasticity-consistent standard errors Chapter 16: Heckman correction Chapter 17: Polynomial regression Chapter 18: Error correction model Chapter 19: Errors-in-variables models Chapter 20: Linear regression Chapter 21: Homoscedasticity and heteroscedasticity (II) Answering the public top questions about econometrics. (III) Real world examples for the usage of econometrics in many fields. (IV) Rich glossary featuring over 1200 terms to unlock a comprehensive understanding of econometrics. (eBook only). Who will benefit Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of econometrics.

Download or read book Making Sense of the Social World written by Daniel F. Chambliss and published by SAGE Publications. This book was released on 2024-09-03 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling text introduces social science research methods through interesting examples drawn from formal social science investigations and everyday experiences. The many updates to the Seventh Edition include new examples from the academic literature and news media, new ethics guidance, and current statistical data incorporated throughout including from the 2022 General Social Survey. This edition is also available on the Sage Vantage learning platform.

Download or read book News Numbers and Public Opinion in a Data Driven World written by An Nguyen and published by Bloomsbury Publishing USA. This book was released on 2017-12-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the quality of the air we breathe to the national leaders we choose, data and statistics are a pervasive feature of daily life and daily news. But how do news, numbers and public opinion interact with each other – and with what impacts on society at large? Featuring an international roster of established and emerging scholars, this book is the first comprehensive collection of research into the little understood processes underpinning the uses/misuses of statistical information in journalism and their socio-psychological and political effects. Moving beyond the hype around “data journalism," News, Numbers and Public Opinion delves into a range of more latent, fundamental questions such as: · Is it true that most citizens and journalists do not have the necessary skills and resources to critically process and assess numbers? · How do/should journalists make sense of the increasingly data-driven world? · What strategies, formats and frames do journalists use to gather and represent different types of statistical data in their stories? · What are the socio-psychological and political effects of such data gathering and representation routines, formats and frames on the way people acquire knowledge and form attitudes? · What skills and resources do journalists and publics need to deal effectively with the influx of numbers into in daily work and life – and how can newsrooms and journalism schools meet that need? The book is a must-read for not only journalists, journalism and media scholars, statisticians and data scientists but also anybody interested in the interplay between journalism, statistics and society.

Download or read book Markets for Good Selected Readings Making Sense of Data and Information in the Social Sector written by Markets for Good and published by eBookIt.com. This book was released on 2014-02-13 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markets for Good is an effort by the Bill & Melinda Gates Foundation, the William & Flora Hewlett Foundation, and the progressive financial firm Liquidnet to improve the system for generating, sharing, and acting upon data and information in the social sector. Our vision is of a social sector powered by information, where interventions are more effective and innovative, where capital flows efficiently to the organizations that are having the greatest impact, and where there is a dynamic culture of continuous learning and development. Over the past several years, Markets for Good has been a forum for discussion and collaboration among online giving platforms, nonprofit information providers, nonprofit evaluators, philanthropic advisors, and other entities working to improve the global philanthropic system and social sector. This effort has included over 50 people from more than 20 organizations. The website, MarketsforGood.org, and the work that we hope follows from it, is an outgrowth of what we have learned and observed through this collaboration. This retrospective collection of selected readings from our site includes an introduction by Jeff Raikes, CEO of the Bill & Melinda Gates Foundation, in which he highlights the "continuing wave of efforts that will push our sector to achieve even greater impact." Following Jeff's introduction, the Markets for Good Collaboration Team recaps the first 15 months of the campaign, and how they expect Markets for Good to evolve going forward. The subsequent 17 posts and authors' updates provide a range of perspectives on the most critical data-related challenges facing the social sector, and how these challenges can be addressed. Posts were chosen for their high readership, topic diversity, and thought leadership. The authors debate new and recurring hurdles in the social sector, like capacity and capital constraints; how qualitative data, including stories and beneficiary insights, can be incorporated into data-driven decision processes; and big-, medium-, and small-data management.

Download or read book Mastering Digital Transformation written by Ron Legarski and published by SolveForce. This book was released on 2024-09-22 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering Digital Transformation: A Comprehensive Guide to Evolving with Technology" offers a deep dive into the world of digital change, designed for leaders, innovators, and thinkers navigating the ever-evolving technological landscape. This book emphasizes that digital transformation is more than just adopting new technology; it’s about fundamentally rethinking approaches to innovation, customer engagement, and operational efficiency. Readers will find practical strategies for managing digital initiatives, developing leadership, and integrating cutting-edge technologies like AI, IoT, and blockchain. With case studies, reflection points, and in-depth explorations of key industries, the guide aims to equip professionals with the knowledge to lead successful digital transformations. Suitable for both technical and non-technical audiences, this comprehensive resource helps organizations stay competitive, agile, and resilient in the digital era.

Download or read book Data Lives written by Kitchin, Rob and published by Bristol University Press. This book was released on 2021-02-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The word ‘data’ has entered everyday conversation, but do we really understand what it means? How can we begin to grasp the scope and scale of our new data-rich world, and can we truly comprehend what is at stake? In Data Lives, renowned social scientist Rob Kitchin explores the intricacies of data creation and charts how data-driven technologies have become essential to how society, government and the economy work. Creatively blending scholarly analysis, biography and fiction, he demonstrates how data are shaped by social and political forces, and the extent to which they influence our daily lives. He reveals our data world to be one of potential danger, but also of hope.

Download or read book Future Proof Accounting written by Mfon Akpan and published by Emerald Group Publishing. This book was released on 2024-07-19 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Future-Proof Accounting: Data and Technology Strategies equips accounting students, professors, and industry experts with the knowledge needed to navigate the dynamic realm of accounting.

Download or read book Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis written by Markus Kröger and published by Routledge. This book was released on 2021-05-24 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis: A Practical Guide to Comparative Case Studies and Ethnographic Data Analysis offers practical, methodological, and theoretically robust guidelines to systematically study the causalities, dynamics, and outcomes of complex social interactions in multiple source data sets. It demonstrates how to convert data from multisited ethnography of investment politics, mobilizations, and citizen struggles into a Qualitative Comparative Analysis (QCA). In this book, Markus Kröger focuses on how data collected primarily via multisited political ethnography, supplemented by other materials and verified by multiple forms of triangulation, can be systematically analyzed through QCA. The results of this QCA offer insight on how to study the political and economic outcomes in natural resource conflicts, across different contexts and political systems. This book applies the method in practice using examples from the author’s own research. With a focus on social movement studies, it shows how QCA can be used to analyze a multiple data source database, that includes results from multiple case studies. This book is a practical guide for researchers and students in social movement studies and other disciplines that produce ethnographic data from multiple sources on how to analyze complex databases through the QCA.

Download or read book Changemaker written by Lisa Mueller and published by Footnote Press. This book was released on 2024-08-22 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'I love this book! At a time in which activism must urgently rise to be a much more effective tool for systems change, Mueller gives us a deeply researched yet practical reference book to methodically take activism from passion to impact.' Christiana Figueres, author The Future We Choose From Occupy Wall Street and the Arab Spring, to the pro-democracy uprisings in Hong Kong and the George Floyd protests in Mueller's hometown of Minneapolis, we are seeing one of the largest worldwide swells of unrest in human history, and yet the individuals taking part have little sense of whether and when their bravery and sacrifice make a difference. Changemaker: A Data-Driven Guide to Being an Effective Activist will place proven tools in the hands of activists on the ground, with careful attention to the ethics of implementing various strategies. Current events and evolving technologies create an urgent need for an understanding of how to make protest and activism effective. Democratically-minded protesters are under pressure to keep up with authoritarians, who are quickly learning how to use science and data analytics to get the upper hand on anyone who would defy them. This book can help to level the playing field between the enemies and guardians of freedom. Changemaker provides a comprehensive, practical and essential playbook for both seasoned and aspiring activists and all those interested in how to effect real change. Including stories and quotes from activist protesters, Mueller incorporates lessons from international protest movements that social scientists study extensively but that many Western activists know little about.