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Communicating with Data: The Art of Writing for Data Science by

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Specifiche dell'oggetto

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Book Title
Communicating with Data: The Art of Writing for Data Science
ISBN
9780198862758

Informazioni su questo prodotto

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
019886275X
ISBN-13
9780198862758
eBay Product ID (ePID)
3050034826

Product Key Features

Number of Pages
352 Pages
Publication Name
Communicating with Data : the Art of Writing for Data Science
Language
English
Subject
General
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Science
Author
Deborah Nolan, Sara Stoudt
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
20.7 Oz
Item Length
9.3 in
Item Width
6.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2020-952658
Reviews
"This book about technical writing is particularly suitable (and necessary) for students in data science, or in any mathematical science. It begins with chapters on how to read technical articles, science news stories, and press releases ("examine the argument"); continues with chapters on how to describe and present data and code; advises how to get started writing ("who is the audience?"); and emphasizes the importance of editing and revising. A concluding chapter offers 22 imaginative exercises." -- Mathematics Magazine "excellent presentation." -- T. J. Rao, zb Math Open, "This book about technical writing is particularly suitable (and necessary) for students in data science, or in any mathematical science. It begins with chapters on how to read technical articles, science news stories, and press releases ("examine the argument"); continues with chapters on how to describe and present data and code; advises how to get started writing ("who is the audience?"); and emphasizes the importance of editing and revising. A concluding chapter offers 22 imaginative exercises." -- Mathematics Magazine"excellent presentation." -- T. J. Rao, zb Math Open
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
501.4
Table Of Content
1. Reading Science Articles2. Reading Materials Written for Broader Publics3. Describing Data4. Communicating Through Statistical Graphs5. Communicating through Code6. Organizing the Story7. Writing the First Draft8. Taking Care with Statistical Terms9. Crafting Words and Sentences10. Revising: Drafts #2 Through11. Embracing Your Role as a Scientist12. Building a Portfolio
Synopsis
Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data. General advice on science writing is also provided, including how to distill findings into a story and organize and revise the story, and how to write clearly, concisely, and precisely. This is an excellent resource for students who want to learn how to write about scientific findings, and for instructors who are teaching a science course in communication or a course with a writing component. Communicating with Data consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof reading and revising. Part V offers advice about communication strategies beyond the page, which include giving talks, building a professional network, and participating in online communities. This book also provides 22 portfolio prompts that extend the guidance and examples in the earlier parts of the book and help writers build their portfolio of data communication., Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data
LC Classification Number
Q223

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