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Download or read book The Craft of Research 2nd edition written by Wayne C. Booth and published by University of Chicago Press. This book was released on 2008-04-15 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1995, more than 150,000 students and researchers have turned to The Craft of Research for clear and helpful guidance on how to conduct research and report it effectively . Now, master teachers Wayne C. Booth, Gregory G. Colomb, and Joseph M. Williams present a completely revised and updated version of their classic handbook. Like its predecessor, this new edition reflects the way researchers actually work: in a complex circuit of thinking, writing, revising, and rethinking. It shows how each part of this process influences the others and how a successful research report is an orchestrated conversation between a researcher and a reader. Along with many other topics, The Craft of Research explains how to build an argument that motivates readers to accept a claim; how to anticipate the reservations of thoughtful yet critical readers and to respond to them appropriately; and how to create introductions and conclusions that answer that most demanding question, "So what?" Celebrated by reviewers for its logic and clarity, this popular book retains its five-part structure. Part 1 provides an orientation to the research process and begins the discussion of what motivates researchers and their readers. Part 2 focuses on finding a topic, planning the project, and locating appropriate sources. This section is brought up to date with new information on the role of the Internet in research, including how to find and evaluate sources, avoid their misuse, and test their reliability. Part 3 explains the art of making an argument and supporting it. The authors have extensively revised this section to present the structure of an argument in clearer and more accessible terms than in the first edition. New distinctions are made among reasons, evidence, and reports of evidence. The concepts of qualifications and rebuttals are recast as acknowledgment and response. Part 4 covers drafting and revising, and offers new information on the visual representation of data. Part 5 concludes the book with an updated discussion of the ethics of research, as well as an expanded bibliography that includes many electronic sources. The new edition retains the accessibility, insights, and directness that have made The Craft of Research an indispensable guide for anyone doing research, from students in high school through advanced graduate study to businesspeople and government employees. The authors demonstrate convincingly that researching and reporting skills can be learned and used by all who undertake research projects. New to this edition: Extensive coverage of how to do research on the internet, including how to evaluate and test the reliability of sources New information on the visual representation of data Expanded bibliography with many electronic sources
Download or read book The Data Science Design Manual written by Steven S. Skiena and published by Springer. This book was released on 2017-07-01 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
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