EPISODE · Oct 7, 2020 · 51 MIN
Philosophy of Data Science | S01 E03 | Communicating the Science in Data Science
from Data & Science with Glen Wright Colopy · host podofasclepius
Philosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 3: Communicating the Science in Data Science One of the biggest challenges in data scientists is to communicate why your work matters. Kathy Ensor (ASA 2022 President and Rice University’s Noah Harding Professor of Statistics) covers how to distinguish yourself as a professional by communicating both your scientific and technical value. (Hint: The same scientific reasoning that helps you do good work in data science will also help you critically assess “how” and “what” to communicate.) Watch it on... YouTube: https://youtu.be/Vtasc0GGKDs Podbean: You can join our mail list at: https://www.podofasclepius.com/mail-list We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation. Thank you for your time and support of the series!
What this episode covers
Philosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 3: Communicating the Science in Data Science One of the biggest challenges in data scientists is to communicate why your work matters. Kathy Ensor (ASA 2022 President and Rice University’s Noah Harding Professor of Statistics) covers how to distinguish yourself as a professional by communicating both your scientific and technical value. (Hint: The same scientific reasoning that helps you do good work in data science will also help you critically assess “how” and “what” to communicate.) Watch it on... YouTube: https://youtu.be/Vtasc0GGKDs Podbean: You can join our mail list at: https://www.podofasclepius.com/mail-list We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation. Thank you for your time and support of the series!
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Philosophy of Data Science | S01 E03 | Communicating the Science in Data Science
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