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Dana-Farber Data Science Podcast
Unknown
10 episodes
5 months ago
Our Data Science Zoominars feature interactive conversation with #datascience experts and a live Q+A session moderated by faculty at the Department of Data Science at Dana-Farber Cancer Institute.
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Education
Science,
Mathematics
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All content for Dana-Farber Data Science Podcast is the property of Unknown and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Our Data Science Zoominars feature interactive conversation with #datascience experts and a live Q+A session moderated by faculty at the Department of Data Science at Dana-Farber Cancer Institute.
Show more...
Education
Science,
Mathematics
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Sir David Spiegelhalter, PhD - Communicating Statistical Findings Effectively
Dana-Farber Data Science Podcast
43 minutes
3 years ago
Sir David Spiegelhalter, PhD - Communicating Statistical Findings Effectively
What does the future hold for statistics education? How can we improve public data literacy? Professor Sir David Spiegelhalter, PhD is Chair of the Winton Centre for Risk and Evidence Communication at University of Cambridge, dedicated to improving the way that quantitative evidence is used in society. He has been an applied statistician for over 40 decades and has been involved in several projects with important implications. His academic work has focused in Bayesian statistics, including being co-developer of BUGS and winBUGS, biomedical applications and science communication. He has won numerous awards for his work including being knighted in 2014. He is the author of a very popular book The Art of Statistics, Learning from Data. Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.
Dana-Farber Data Science Podcast
Our Data Science Zoominars feature interactive conversation with #datascience experts and a live Q+A session moderated by faculty at the Department of Data Science at Dana-Farber Cancer Institute.