 My name is Panagiotis Gianakis and I am an assistant teaching professor at the Pennsylvania State University. I'm also the lead instructor of the course Spatial Data Science for Cyber and Human Social Networks. This course focuses on the fundamentals of social network analysis and also examines the intersection of social networks with spatial data. You might have noticed that the most powerful and influential entities in the network are not always obvious or visible, at least to an untrained observer. In this course you will learn the basic methodologies to be able to distinguish and identify network structures that will allow you to pick behind the curtain and discover these powerful actors. More than that, you will get a better understanding of these actors' behaviors, relationships and their overall network. To better give you the opportunity to comprehend these tools and concepts, we have designed this course around several projects. This way you will get to use what you've learned on an actual project. These projects have been designed to resemble real-life scenarios and that's why we have used real-life data. To give you an example, two of the projects that you will encounter are the use of Twitter data in an effort to analyze and possibly identify the spatial strategy of a political party just before the elections and also to analyze a terrorist network in an effort to identify the true powerful individuals that might be hiding behind their co-conspirators. Social network analysis is something that you will have the chance to use in your professional or even everyday life. It is a very interesting course which I believe will give you the opportunity to approach some familiar or even some new concepts from a new and unique point of view.