Data
Data Science 101
This workshop will define what data science is, review some of the main tools used by data scientists today, and discuss how they can be implemented in real world work.
Bruno Goncalves
Moore Sloan Data Science Fellow, NYU
New York City
Bruno Gonçalves is currently a Senior Data Scientist while on leave from a tenured faculty position at Aix-Marseille Université. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science and Machine Learning to study Human Behavior. Using large datasets from Twitter, Wikipedia, web access logs, and Yahoo! Meme he studied how we can observe both large scale and individual human behavior in an obtrusive and widespread manner. The main applications have been to the study of Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading. He is the author of 60+ publications with over 7300+ Google Scholar citations and an h-index of 30. In 2015 he was awarded the Complex Systems Society's 2015 Junior Scientific Award for "outstanding contributions in Complex Systems Science" and in 2018 was named a Scientific Fellow of the Foundation for Scientific Interchange in Turin, Italy. He is also the editor of the book Social Phenomena: From Data Analysis to Models (Springer, 2015).
Upcoming Courses
Previously (2)
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