Statistical programming, computation using selected languages (Python, R, Matlab, and/or C/C++) & interfaces with custom code development for statistical models. Best practices and software development for reproducible results, selecting topics from markup languages, data structures, design of graphics, object-oriented programming, vectorized code, scoping, documenting code, profiling and debugging, building modular code, and version control, all in contexts of applied statistical analyses. Instructor consent is required.
Statistical Science