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Thomas Laetsch
Instructor
Data Scientist at New York University
NYU
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My Most Recent Course
Web Scraping in Python
4 hours17 Videos56 Exercises73,248 LearnersCourses
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About Me
Since January 2016, Thomas Laetsch has been a Moore-Sloan Post-Doctoral Associate in the Center for Data Science at NYU. In 2012, he received his PhD in mathematics from the University of California, San Diego, specializing in probability, differential geometry, and functional analysis. From 2012 through 2015, he was a Visiting Assistant Professor at the University of Connecticut, working on central tendency theorems for random walks in degenerate spaces.
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