Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
About The Course
This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able to summarize samples, perform relevant hypothesis tests and perform a collection of two sample comparisons. Classical non-parametric methods and discrete data analysis methods are discussed. The class is taught at a master's of biostatistics introductory level and requires Mathematical Biostatistics Boot Camp 1 as a prerequisite.
Frequently Asked Questions
Will I get a Statement of Accomplishment after completing this class?
Yes. Students who achieve a sufficient grade will receive a Statement of Accomplishment signed by the instructor.What resources will I need for this class?
RStudio and R
Students should take Mathematical Biostatistics Boot Camp 1 before enrolling in this course. Knowledge of calculus, set theory and a high level of mathematical literacy are prerequisites for this class.