Communicating With Data - The Art of Writing for 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

List 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 Through...


• 11: Embracing Your Role as a Scientist


• 12: Building a Portfolio

About the author

Deborah Nolan is Professor of Statistics and Associate Dean for Undergraduate Education in the Division of Computing, Data Science, and Society at the University of California, Berkeley, where she holds the Zaffaroni Family Chair in Undergraduate Education. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.

Sara Stoudt is an applied statistician whose work primarily focuses on environmental and ecological applications. She is currently a lecturer at Smith College. She received her PhD in Statistics from UC Berkeley. Prior to that she received a B.A. in Mathematics (with an emphasis on statistics) from Smith College.

Summary

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

Additional text

excellent presentation.

Product details

• Authors: Deborah Nolan, Deborah (Professor of Statistics and Associ Nolan, Nolan Deborah, Sara Stoudt
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 25.03.2021
• EAN: 9780198862741
• ISBN: 978-0-19-886274-1
• No. of pages: 352
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Science: general issues, MATHEMATICS / Probability & Statistics / General, SCIENCE / Philosophy & Social Aspects, Writing and editing guides, Technical Writing, Data science and analysis: general