The course is designed for students without a strong background in Mathematics, e.g. without A level Mathematics, and is suitable for students who wish to learn basic statistical methods for analysing ...

At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

A statistical software package, Minitab®, is used to help create designs ... What does the term “instructor-led” mean? Our online courses and workshops are virtually identical in content to our “live” ...

and spring courses are published at the end of September. This page only contains basic, intermediate and advanced studies in mathematics and statistics. So, the page does not include all mandatory ...

Modeling of systems with emergent behavior. The course has two components: (1) basic and intermediate statistical mechanics, and (2) application of the course methods to a case study, chosen from ...

Students must have completed a statistical course at least equivalent to Quantitative Methods (Statistics ... using R -- a programming language and software environment for data analysis and ...

This course will teach students how to address these and other social science questions by analyzing quantitative data. The course introduces basic principles of statistical inference and programming ...

It is especially appropriate for students with an undergraduate science or engineering major who have not had a rigorous calculus-based probability and statistics course. The course covers the topics ...

You combine courses (credits) to meet the total number of credits needed for your qualification. Students must have a good grounding in basic maths. It is strongly recommended that students have ...

Vital statistics (VS) are statistics on these vital events and of the ... This self-paced format is offered for busy professionals who are able to take the course at their own pace and finish at any ...