Computational tools for representing, manipulating, interpreting, transforming, and visualizing data. Covering statistical topics such as random number generation, probability distributions and linear models in R. Creating reproducible analysis and research reports in R. Automation for repeatable analysis. Focus on in-memory data to be able to handle with big data. Some prior computational or statistical experience is necessary.