3.0

credits

Average Course Rating

Teaches students common algorithms and essential skill sets for statistical computing and software development through hands-on experiences. Takes a large-scale logistic regression as an example and has students work toward implementing a high-performance `hiperLogit` R package for fitting this model. Presents progressively advanced algorithms and computing techniques. Trains students in various best practices for developing statistical software, including how to start with a basic version of the package and progressively integrate more advanced features. Prepares students for further training in statistical computing techniques and algorithms as covered in Advanced Statistical Computing (140.779).