Data can be defined as a set of facts or observations. These facts or observations are collected from the environment by assigning quantities to qualities (measuring) and organizing them into sets. The amount of data that can be extracted from the world (i.e. the number of observations that can be made) are nigh infinite. For this reason, epidemiologists and clinical researchers take on the challenge of designing data collection methods that include only the data that is relevant to their research question.
In this course, the student will be introduced to data, its levels of measurement, data distribution, and the types of statistical errors.
For optimal understanding, the student is required to be familiar with the basics of arithmetic, algebra, and epidemiology. Since some concepts may be very abstract to some, it’s encouraged to rewatch some video lectures until the concepts are fully grasped.
Very clarifying lecture! Professor Deonandan is pretty concise and informative.