Download Thinking with Data Ebook, Epub, Textbook, quickly and easily or read onlineThinking with Data full books anytime and anywhere. Click GET BOOK button and get unlimited access by create free account.

Thinking with Data by Max Shron

Title Thinking with Data
Author Max Shron
Publisher "O'Reilly Media, Inc."
Release 2014-01-20
Category Computers
Total Pages 94
ISBN 1491949775
Language English, Spanish, and French
GET BOOK

Book Summary:

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action

Thinking with Data by Priti Shah

Title Thinking with Data
Author Priti Shah
Publisher Psychology Press
Release 2007
Category Psychology
Total Pages 466
ISBN 0805854215
Language English, Spanish, and French
GET BOOK

Book Summary:

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support people as they think with data, and (3) the growing scientific interest in understanding how people think with data. What is thinking with data? It is the set of cognitive processes used to identify, integrate, and communicate the information present in complex numerical, categorical, and graphical data. This book offers a multidisciplinary presentation of recent research on the topic. Contributors represent a variety of disciplines: cognitive and developmental psychology; math, science, and statistics education; and decision science. The methods applied in various chapters similarly reflect a scientific diversity, including qualitative and quantitative analysis, experimentation and classroom observation, computational modeling, and neuroimaging. Throughout the book, research results are presented in a way that connects with both learning theory and instructional application. The book is organized in three sections: Part I focuses on the concepts of uncertainty and variation and on how people understand these ideas in a variety of contexts. Part II focuses on how people work with data to understand its structure and draw conclusions from data either in terms of formal statistical analyses or informal assessments of evidence. Part III focuses on how people learn from data and how they use data to make decisions in daily and professional life.

Thinking with Data by Max Shron

Title Thinking with Data
Author Max Shron
Publisher "O'Reilly Media, Inc."
Release 2014-01-20
Category Computers
Total Pages 94
ISBN 1491949864
Language English, Spanish, and French
GET BOOK

Book Summary:

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action

Thinking with Data by Max Shron

Title Thinking with Data
Author Max Shron
Publisher
Release 2014
Category SCIENCE
Total Pages
ISBN 9781491949757
Language English, Spanish, and French
GET BOOK

Book Summary:

Title Applied Computational Thinking with Python
Author Sofía De Jesús
Publisher Packt Publishing Ltd
Release 2020-11-27
Category Computers
Total Pages 420
ISBN 183921676X
Language English, Spanish, and French
GET BOOK

Book Summary:

Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.

Finding Out Fast by Alan Thomas

Title Finding Out Fast
Author Alan Thomas
Publisher SAGE
Release 1998
Category Business & Economics
Total Pages 376
ISBN 9780761958376
Language English, Spanish, and French
GET BOOK

Book Summary:

Finding Out Fast provides readers with key skills and approaches for research designed to inform policies, particularly on development. Recognizing that policy decisions are typically made under pressure of time and on the basis of incomplete data or with limited resources with which to obtain information, the authors provide guidance on how to locate, evaluate and use relevant information, fast. They explain and critically review a variety of research methods for `finding out fast', in the belief that these methods can still be rigorous. Finding Out Fast will assist readers to become competent investigators, to understand how to use research more effectively and how to commission and critical

Thinking with Theory in Qualitative Research by Alecia Youngblood Jackson

Title Thinking with Theory in Qualitative Research
Author Alecia Youngblood Jackson
Publisher
Release 2012-01
Category Education
Total Pages 150
ISBN 9780415781008
Language English, Spanish, and French
GET BOOK

Book Summary:

"This book uses a common data set and utilizes various theoretical perspectives through which to view data. "Plugging in" the theory and the data produces a variety of readings through the application of these theorists and their concepts: - Derrida - Deconstruction - Spivak - Postcolonial Marginality - Foucault - Power/Knowledge - Butler - Performativity - Deleuze - Desire - Barad - Material Intra-activity By presenting detailed examples of how qualitative researchers can think about data and analysis differently given these various frames and concepts, the authors demonstrate how to produce different knowledge from their work. It challenges qualitative researchers to use theory to accomplish a rigorous, analytic reading of qualitative data. Thinking With Theory In Qualitative Research pushes against traditional qualitative data analysis: mechanistic coding, reducing data to themes, and writing up transparent narratives that do little to critique the complexities of social life; such simplistic approaches preclude dense and multi-layered treatment of data. The authors show that "thinking with theory" pushes research and data and theory to its exhaustion in order to produce knowledge differently. By refusing a closed system for fixed meaning (i.e., transferable patterns and themes generated from coding data with reductive language), the authors engage a new analytics to keep meaning on the move. The result is an extension of thought beyond an easy sense. Special features of the book include schematic cues to help guide the reader through what might be new theoretical terrain, interludes that explain the possibilities of thinking with a particular concept and theorist, detailed chapters that plug the same data set into a specific concept, and lists of suggested readings"--

Title The Cambridge Handbook of Consumer Privacy
Author Evan Selinger
Publisher Cambridge University Press
Release 2018-04-02
Category Law
Total Pages
ISBN 1316859274
Language English, Spanish, and French
GET BOOK

Book Summary:

Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.

Title The Routledge International Handbook of Learning with Technology in Early Childhood
Author Natalia Kucirkova
Publisher Routledge
Release 2019-03-04
Category Education
Total Pages 416
ISBN 1351389866
Language English, Spanish, and French
GET BOOK

Book Summary:

The Routledge International Handbook of Learning with Technology in Early Childhood focuses specifically on the most cutting-edge, innovative and international approaches in the study of children’s use of and learning with digital technologies. This edited volume is a comprehensive survey of methods in children’s technologies and contains a rich repertoire of studies from diverse fields and research, including both educational and developmental psychology, post-humanist literacy, applied linguistics, language and phenomenology and narrative approaches. For ease of reference, the Handbook's 28 chapters are divided into four thematic sections: introduction and opening reflections; studies answering ontological questions, which theorize how children take on original identities in becoming literate with technologies; studies answering epistemological questions, which focus on how children’s knowledge and learning are (co)constructed with a diverse range of technologies; studies answering practice-related questions, which explore the resources and conditions that create the most powerful learning opportunities for children. Expertly edited, this interdisciplinary and international compendium is an ideal introduction to such a diverse, multi-faceted field.

Data Science Thinking by Longbing Cao

Title Data Science Thinking
Author Longbing Cao
Publisher Springer
Release 2018-08-17
Category Computers
Total Pages 390
ISBN 3319950924
Language English, Spanish, and French
GET BOOK

Book Summary:

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective. The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning its evolution, concepts, thinking, challenges, discipline, and foundation, all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book's three parts each detail layers of these different aspects. The book is intended for decision-makers, data managers (e.g., analytics portfolio managers, business analytics managers, chief data analytics officers, chief data scientists, and chief data officers), policy makers, management and decision strategists, research leaders, and educators who are responsible for pursuing new scientific, innovation, and industrial transformation agendas, enterprise strategic planning, a next-generation profession-oriented course development, as well as those who are involved in data science, technology, and economy from an advanced perspective. Research students in data science-related courses and disciplines will find the book useful for positing their innovative scientific journey, planning their unique and promising career, and competing within and being ready for the next generation of science, technology, and economy.

LEAVE A COMMENT