Robert Tibshirani

Robert Tibshirani is a Professor in the Departments Health Research and Policy and Statistics at Stanford University. In his work he has made important contributions to the analysis of complex datasets, most recently in genomics and proteomics. His most well-known contribution is the Lasso, which uses L1 penalization in regression and related problems. He has co-authored over 200 papers and three books. Professor Tibshirani co-authored the first study that linked cell phone usage with car accidents, a widely cited article that has played a role in the introduction of legislation that restricts the use of phones while driving. He is one of the most widely cited authors in the entire mathematical sciences field. Professor Tibshirani is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics and the Royal Society of Canada. He won the prestigious COPSS Presidents's award in 1996, the NSERC Steacie award in 1997 and was elected to the National Academy of Sciences in 2012.

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Statistical Learning with Python (edX) EdX
StanfordOnline

Statistical Learning with Python (edX)

Discover the essential tools of statistical modeling and data science through this comprehensive course. Explore both classic and cutting-edge methods and learn how to apply them using Python's powerful capabilities. Whether you're new to the field or looking to deepen your expertise, this course offers a blend of theory and practical application that will equip you with the skills needed for real-world analysis.

Self Paced
Self-Paced
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