R is a free computing and graphical software/environment for statistical analysis. This short course describes basic statistical analysis in R using two data sets. The 1974 Motor Trend Car Road Tests ...

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 ...

A semester-long study of topics in Statistics. Topics and emphases will vary according to the instructor. This course may be repeated for credit with different topics. See the details in the schedule ...

Career Connections: Network with recruiters from National Labs and federally-funded Research Centers to explore co-op, internship, research, and full-time employment opportunities. Gain Work ...

1 Plan and implement a statistics research project. 2 Describe the statistical techniques and literature relevant to the project. 3 Analyse, present and interpret data in an applied setting. Learning ...

SAS (Statistical analysis system), the world's fastest and powerful statistical package for data analysis. It comprises multi engine architecture for better data management and reporting. SAS training ...

In this master’s in applied statistics, you’ll learn statistical analysis and apply it to a variety of industries, including insurance, marketing, government, health care, and more. STEM-OPT Visa ...

The University's IT Services is once again organising an introductory course in Statistical Product and Service Solutions (SPSS). The course is aimed at staff and students who want to use SPSS to ...

Lifetime data occur in a wide variety of contexts: medical, demographic, industrial, economic. This course gives an introduction to the theory and practice of analysing lifetime data, commonly called ...

R is a free computing and graphical software/environment for statistical analysis. This short course is designed to provide a basic statistical analysis in R using two data. The first data set comes ...