Lauren Hannah

Lauren Hannah is an Assistant Professor in the Department of Statistics at Columbia University. Dr. Hannah received a Ph.D. in Operations Research and Financial Engineering from Princeton University, and an A.B. in Classics, again from Princeton University. After completing her Ph.D., Dr. Hannah completed a postdoc at Duke in the Statistical Science Department. Her interests include machine learning, Bayesian statistics, and energy applications.

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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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