Let's look at what you'll discover in this course. First off, you'll see a lot of me, every module and lesson comprised of short video lectures that you can watch at your own pace, and at your own convenience. Now these lectures are recorded in the mathematics building at the magnificent old main campus of the university, in Hospital itself, allowing me to still be close to my patients when needed. Now, the video lectures are accompanied by the written text that gives you a much more in-depth look at some of the topics that we'll discuss. Quizzes are used throughout as a learning tool to help ensure that you develop a proper understanding of these topics. Now, I often refer to the published research papers when discussing new topics, and I urge you to have a look at these as well. Now, they are all open access journal articles, and you'll have free access to them. Now, we'll start this course off by looking at the various study and data types to give you a good foundation of the kind of research that's out there, and that you can get involved in. After this, we'll take our first glimpse at the world of statistical analysis, starting off by simply describing the data that is gathered for research purposes. The section after that really gets to the heart of the matter. We'll teach you the link between statistical probability, that's a p-value in geometric area. Yes, you heard correctly. Geometric area, the area of a simple rectangle being its width times its height, and probability, as in the rolling of a pair of dice. Now, we'll move onto the reason why we can calculate p-values at all, it's a truly wonderful concept, it's called the central limit theorem. A really big word for an easy to understand concept. Now, by this time, you will truly and intuitively understand statistical analysis, all without a single equation. Now, from there, we'll take a look at all the common concepts that build from probability, and the central limit theorem, such as confidence intervals, comparing results and proportions between two or more groups, etc. We'll end off by looking and evaluating accuracy of test results. Now, that's concepts such as sensitivity, space efficity, predictor values, odds ratios, and many more. And then right at the very end, we'll bring it all together by working through an example, analyzing some research data. Really looking at where all of these statistical tests fit in. So, if you are simply interested in properly understanding the published literature, or if you are embarking on conducting your own research, this course is your first step. A step devoid of any complicated mathematical expressions. I look forward to seeing you online. Let's get started.