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 ...

R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides introduction to R programming basics, such as data ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

JMP is a user friendly statistical software package that puts advanced analytic capabilities within an easy-to-use graphical interface. JMP is different from other statistical programming packages ...

Delivering the keynote address, Dr. Pallab Changkakoti, Head of the Department of Statistics, KSCJ, emphasized the need for developing a data-driven mindset and the role of SPSS in promoting ...

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 ...

Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

Introduction to Big Data (DT102) provides the fundamentals needed to allow organizations to turn data into actionable information. Starting with an overview of big data, which covers key enterprise ...

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 ...

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics (AOAS) is aimed at papers in the applied half of ...