This class is an introduction to the data science skills from the applied computer science, statistics, and information technology, that are needed for a modern research in any data-intensive field, but with a special focus on the astronomical applications. Open to graduate and upper-division on undergraduate students in all options. The topics covered include best programming practices, supervised and unsupervised machine learning, feature selection, dimensionality reduction, databases, Bayesian statistics, time series analysis, deep learning, data visualization, and possibly other topics. The class will feature real-world examples from cutting-edge projects in which the instructors are involved.