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 ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Health Data Science and MSc in Operations Research & Analytics. This course is available with permission as ...

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 ...

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 ...

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 ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 64, No. 4 (AUGUST 2015), pp. 593-610 (18 pages) The paper proposes a fully Bayesian approach for the analysis of triadic ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

The Journal of Developing Areas, Vol. 50, No. 5, Special Issue on the Kuala Lumpur Conference, November 23-24, 2015 (2016), pp. 371-381 (11 pages) The growing interest in the credit industry resulted ...