David Madigan

David Madigan received a bachelor’s degree in Mathematical Sciences and a Ph.D. in Statistics, both from Trinity College Dublin. He has previously worked for AT&T Inc., Soliloquy Inc., the University of Washington, Rutgers University, and SkillSoft, Inc. He has over 100 publications in such areas as Bayesian statistics, text mining, Monte Carlo methods, pharmacovigilance and probabilistic graphical models. He is an elected Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He recently completed a term as Editor-in-Chief of Statistical Science.

Statistical Thinking for Data Science and Analytics (edX)

EdX

Columbia University,ColumbiaX

Statistical Thinking for Data Science and Analytics (edX)

Management & Leadership CS: Software Engineering

Dive into Statistical Thinking for Data Science and Analytics on edX and gain a robust understanding of statistics as the cornerstone of data science. This course will guide you through essential concepts like designing data collections, deriving insights from visualizations, making data-based decisions, and constructing predictive models. Ideal for those new to data science or looking to deepen their analytical skills.

Self Paced

Self-Paced

Statistics Data Analysis Data Science

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