This course introduces students to the field of Data Science, an interdisciplinary field of scientific methods, processes, and systems to extract knowledge from data. Methods from Data Science would support decision making and prediction. This course presents the key steps of data science processes, such as making assumption, data crawling, preprocessing, data analysis, knowledge evaluation, making prediction. Necessary methods from machine learning, data mining, and statistics will be introduced. The students will be introduced to how to work with texts, images, videos, graphs, social networks, ratings, feedbacks, … This course also introduces the typical applications in practice and useful tools and libraries.