A hands-on introductory level course on data science techniques and applications. Preliminary statistics, programming, and SQL. Basic data acquisition, cleaning, manipulation and pre-processing. Emphasis on: Data understanding and preparation; Exploratory data analysis and visualization. Implementing and validating linear and penalized regression, basic classification and basic clustering methods. Introduction to big data analysis.