Computers have made it possible, even easy, to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use those data and how to extract useful information from them. This problem is faced in a tremendous range of scholarly, government, business, medical, and scientific applications. This course will provide students with an overview of the different components of the Data Science pipeline and with practical skills to implement it. Data Science is by nature an applied science. This course will use real datasets from open data sources and data challenges from a variety of disciplines to immerse students in real Data Science settings and to teach them about the challenges that arise when working with complex, imperfect data.