This course provides students with key concepts in data science. First, it gives an overview of the basic techniques of data science, including data analysis, statistical modeling, data engineering, relational databases, manipulation of data at scale (big data), data quality, and data visualization. Second, the course provides students with key concepts in data acquisition, preparation, and exploration alongside practical application-oriented examples. Students will learn how to produce a fully processed data set suitable for building analytical models that can be deployed to increase business profitability.