One of the most robust backward design models developed for higher education is L. Dee Fink’s integrated course design. Fink outlines a streamlined process for designing academic courses, divided into ...

This course presents fundamental principles of statistics in the context of business-related data analysis and decision making, including methods of summarizing and analyzing data, statistical ...

Understanding some statistics is important for general science literacy. Below are some common statistics resources that may be useful for your project work. To support your professional development, ...

In The Seven Pillars of Statistical Wisdom, published in March by the Harvard University Press, Stephen Stigler identifies seven fundamental principles of statistics, a largely interdisciplinary field ...

The Bachelor of Arts degree in Statistics and Data Science (STAT) offered by the Department of Applied Mathematics at CU Boulder is designed with an emphasis on inter- and cross-disciplinary training.

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

An introduction to probability theory and statistical methods especially as they relate to public policy. The course will consist of a brief introduction to probability theory as well as various ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...