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

Sommario

• 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

Info autore

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.

Riassunto

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

Testo aggiuntivo

excellent presentation.

Dettagli sul prodotto

• Autori: Deborah Nolan, Deborah (Professor Nolan, Deborah (Professor of Statistics and Associ Nolan, Deborah (Professor of Statistics and Associate Dean for Undergraduate Education in the Division of Computing Nolan, Nolan Deborah, Sara Stoudt, Sara (Lecturer in Statistical & Data Sciences Stoudt
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.03.2021
• EAN: 9780198862758
• ISBN: 978-0-19-886275-8
• Pagine: 352
• Categorie: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali; Science: general issues, MATHEMATICS / Probability & Statistics / General, SCIENCE / Philosophy & Social Aspects, Writing and editing guides, Technical Writing, Data science and analysis: general