Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Learn to create your own Python packages to make your code easier to use and share with others.

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.