Description

Book Synopsis
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

Trade Review
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 *

Table of Contents
1: Reading Science Articles 2: Reading Materials Written for Broader Publics 3: Describing Data 4: Communicating Through Statistical Graphs 5: Communicating through Code 6: Organizing the Story 7: Writing the First Draft 8: Taking Care with Statistical Terms 9: Crafting Words and Sentences 10: Revising: Drafts #2 ThroughEL 11: Embracing Your Role as a Scientist 12: Building a Portfolio

Communicating with Data The Art of Writing for

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Order before 4pm today for delivery by Fri 16 Jan 2026.

A Paperback / softback by Deborah Nolan, Sara Stoudt

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    View other formats and editions of Communicating with Data The Art of Writing for by Deborah Nolan

    Publisher: Oxford University Press
    Publication Date: 25/03/2021
    ISBN13: 9780198862758, 978-0198862758
    ISBN10: 019886275X

    Description

    Book Synopsis
    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

    Trade Review
    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 *

    Table of Contents
    1: Reading Science Articles 2: Reading Materials Written for Broader Publics 3: Describing Data 4: Communicating Through Statistical Graphs 5: Communicating through Code 6: Organizing the Story 7: Writing the First Draft 8: Taking Care with Statistical Terms 9: Crafting Words and Sentences 10: Revising: Drafts #2 ThroughEL 11: Embracing Your Role as a Scientist 12: Building a Portfolio

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