Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

The Cornell Data Science project team will launch an unofficial student-led training course this semester — taught and developed entirely by Cornell students — to help students gain hands-on ...

This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics.

The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged ...

Vol. 73, No. 2, The 2004 ISI Special Conference on "The Vital Role of Statistical Science in Assuring National Prosperity" (Aug., 2005), pp. 217-221 (5 pages) Research in the data-oriented areas of ...

College of Science students will complement critical thinking and analytical abilities gained within their major area of study by completing a two-course sequence and related laboratory experience in ...