The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

Members of the university community are invited to participate in a workshop on "Modern Methods for Data Analysis" from Monday, Jan. 11 through Friday, Jan. 15, from 10 a.m. to noon (EST). The ...

Overview:Structured books help in building a step-by-step understanding of analytics concepts and techniques.Visualisation ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

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 ...

This course is compulsory on the MSc in Data Science, MSc in Health Data Science and MSc in Operations Research & Analytics. This course is available with permission as an outside option to students ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

Approaches for statistical inference -- The Bayes approach -- Bayesian computation -- Model criticism and selection -- The empirical Bayes approach -- Bayesian design -- Special methods and models -- ...

Current course names and descriptions are available below; please note they are subject to change. You can also search for current and past course offerings on UAB's Class Schedule Listing site.