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

    Communicating with Data by Nolan, Deborah; Stoudt, Sara;

    The Art of Writing for Data Science

      • GET 10% OFF

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      • Publisher's listprice GBP 96.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        45 864 Ft (43 680 Ft + 5% VAT)
      • Discount 10% (cc. 4 586 Ft off)
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    45 864 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher OUP Oxford
    • Date of Publication 25 March 2021

    • ISBN 9780198862741
    • Binding Hardback
    • No. of pages352 pages
    • Size 240x160x24 mm
    • Weight 710 g
    • Language English
    • 107

    Categories

    Short description:

    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

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    Long description:

    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.

    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.

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    Table of Contents:

    Reading Science Articles
    Reading Materials Written for Broader Publics
    Describing Data
    Communicating Through Statistical Graphs
    Communicating through Code
    Organizing the Story
    Writing the First Draft
    Taking Care with Statistical Terms
    Crafting Words and Sentences
    Revising: Drafts
    2 Through…
    Embracing Your Role as a Scientist
    Building a Portfolio

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