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 Statistics and Data Science curriculum links faculty and students from across the college interested in learning things from data. One important goal is to prepare students for careers in data ...

With statistics and data science among the fastest-growing fields in the United States, The University of Texas at Austin will offer an undergraduate degree in these fields for the first time ...

Statistics and Data Science Seminar Series The Department of Statistics hosts the Statistics and Data Science Seminar Series (SDSS) throughout the year and usually taking place on Friday afternoons at ...

Because statisticians and data scientists are often involved in interdisciplinary work, our degree program requires in-depth knowledge of an area of science, engineering, social science or humanities ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

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 ...

Are you learning the R programming language? Do you want to learn how to do more tasks with R? Check out our Do More With R tutorials below — many with videos shorter than 10 minutes.

Research in the data-oriented areas of computer science is contributing a new wave of theory and tools for learning from data. Some of the research areas complement those in statistics and others ...