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 Podcast: Data NationIDSS faculty and industry experts unpack how data can be used to lead, mislead, manipulate, and inform the public’s viewpoints and decisions. Season 2 has begun! 
 
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 MicroMasters in Statistics and Data ScienceLearn 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. 
 
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 Data Science and Machine Learning: Making Data-Driven DecisionsThis 10-week online program covers statistics and Python foundations, machine learning, prediction, recommendation systems, and more. 
 
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 Nonparametric Bayesian StatisticsBayesian nonparametrics provides modeling solutions by replacing the finite-dimensional prior distributions of classical Bayesian analysis with infinite-dimensional stochastic processes. 
 
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 Causal inference and applications to learning gene regulatory networksCausal inference: Geometry of conditional independence structures for 3-node directed Gaussian graphical models. 
 
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 Combinatorial learning with set functionsLearning problems that involve combinatorial objects are ubiquitous – they include the prediction of graphs, assignments, rankings, trees, groups of discrete labels or preferred sets of a user; the expression of prior structural knowledge for regularization, the identification of sets of important variables, or… 
 
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 Online LearningIn this line of research, we develop strategies to optimize utility in dynamic environments in an optimal and efficient fashion. 
 
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 Statistical and Computational TradeoffsComputational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques. 
 


