Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

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

This course is compulsory on the Double Master of Public Administration (LSE-Columbia), Double Master of Public Administration (LSE-University of Toronto) and Master of Public Administration. This ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

life sciences today conducts statistical tests. To critically assess the validity of the results some basic statistical knowledge is necessary. This two-day workshop of “Basics in Statistics Part 2” ...

life sciences today conducts statistical tests. To critically assess the validity of the results some basic statistical knowledge is necessary. This two-day workshop of “Basics in Statistics” has the ...

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

I am an early admit to the University of Chicago, and I want to make sure that I sign up for classes as a freshmen and sophomore that will provide a good background for me, no matter what my course of ...