I have been teaching the Fundamentals of Epidemiology more or less continuously at the University of Calgary since the early 1990s. I have always been frustrated by the lack of a text book that emphasizes (or even mentions) the main sources of data that students of epidemiology in Canada will use during their careers. For this reason, I have written an introductory textbook that I hope Canadian students will find useful. For more information, click here. In addition to emphasizing (not exclusively) the Canadian context, there are a couple of features that have been emphasized. One is that each chapter is divided into two parts. The first part provides basic content and the second, called "thinking deeper" delves a little deeper into a more advanced topic related to that chapter. In this way, I have attempted to make the book appealing both for undergraduate students and graduate students. Second, rather than reserving the topic of bias, which is a difficult topic for complex parameters such as odds ratios or risk ratios, this topic is addressed in chapters focusing on simpler parameters, such as prevalence. I hope that this will make some of the most difficult topics for introductory students (selection bias in analytical studies, differential versus non-differential misclassification bias) more accessible since they can first master the concepts in a simpler form.