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Data Science and Big Data Analytics: Making Data-Driven Decisions
This 10-week online program covers statistics and Python foundations, machine learning, prediction, recommendation systems, and more. -
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread. -
MicroMasters in Statistics and Data Science
Learn data science methods and tools, get hands-on training in data analysis and machine learning, and find opportunities in a growing field. Watch our latest informational webinar.
MIT economist Joshua Angrist shares Nobel Prize
SDSC affiliate cited for work building the foundations of “natural experiments” in economic research
Statistical model defines ketamine anesthesia’s effects on the brain
SDSC core faculty Emery Brown, along with fellow neuroscientists at MIT and Massachusetts General Hospital, have developed a statistical framewor...
Taking on the stormy seas
SDSC affiliate Themistoklis Sapsis tackles engineering problems associated with the unpredictable ocean environment and its effects on ships and ...
Fri
29
Revealing the simplicity of high-dimensional objects via pathwise analysis
Ronen Eldan (Weizmann Inst. of Science and Princeton)
E18-304
October 29 @ 11:00 am - 12:00 pm
Nov
01
Designing AI for Racial Equity: Translating Ethics into Practice
S. Craig Watkins (MLK Visiting Professor - MIT)
E18-304
November 1 @ 4:00 pm - 5:00 pm
Nov
05
Stochastics and Statistics Seminar
Morgane Austern (Harvard University)
E18-304
November 5 @ 11:00 am - 12:00 pm
Nov
12
Characterizing the Type 1-Type 2 Error Trade-off for SLOPE
Cynthia Rush (Columbia University)
E18-304
November 12 @ 11:00 am - 12:00 pm
Nov
19
Stochastics and Statistics Seminar
Pragya Sur (Harvard University)
E18-304
November 19 @ 11:00 am - 12:00 pm
