This is a graduate-level course in applied data science. The course covers the basic definitions, concepts and skills in data science including importing datasets, data cleaning and preprocessing, data visualization and summarization, building predictive and regression models, and designing data pipelines for real-life problems. The course uses active learning techniques to guarantee better engagement from the students. Also, experts from the industry are invited to talk about the practical applications in this domain. This course includes assignments and a practical term project