>> Hi! My name is Bryan Cuffel, and I'm a professor in the Department of Bio statistics at John Hopkins University. Welcome to the class, Advanced linear Models One. I think linear models is perhaps the most important subject in all Statistics. It's our fundamental way. For uncovering approximations to the underlying mechanistic models that we can sometimes discover in big and small data sets. In order to take this class though I think it would be useful to have some pre requisites. First, it would be useful to have some linear algebra, and be a little bit up on it. In addition to that some multivariable calculus would also be useful. If you've never had a statistics class before, I think it would be useful to have some basic knowledge about hypothesis testing and distributions. And sampling assumptions, and these other things that are part of a basic statistics class. My class, statistical inference, which is part of the data science specialization and classes boot camp one and two are both on Coursera. And they would be reasonable prerequisites to get the knowledge that you need to get started in this class. This is a fairly high level treatment of the subject of linear models, and in this class we're going to be focused almost entirely on least squares. And subsequent classes will go on to statistical inference. And more advanced regression modeling techniques. However, we're not going to spend a lot of time motivating the need for linear models. And so if you really need that. If you kind of haven't even really seen a linear model before. Don't even know what their possible uses might be. I really think a useful class to take would be regression models, which is part of the data science specialization as well. Or at the bare minimum, I have the regression models lectures up on YouTube, you can go watch them, my YouTube user name is BCaffo. So, the class is structured mostly as a series of Khan Academy style videos where I'm writing on active digitizers that I have. And we're going to the underlying mathematics especially of least squares in this first set of lectures. In addition, we have some computer experiments where I show how the mathematics relates to the computing to actually do the computations for linear models. The quizzes are all multiple choice and there is one quiz per module. So welcome to the class, I look forward to working with you and I hope to also see you in subsequent classes for linear models.