Computational Methods and Tools in Statistics

Graduate credit

The course covers a variety of topics related to the use of computers for analyzing, managing, and processing large datasets. The first part of this course focuses on an introduction to common computing tools, methods, and concepts used by data scientists and statistical analysts; develop good habits for coding, documentation, and workflow; demonstrate growth in presenting and communicating data and analysis. The second part of this course include parallel and distributed computing, simulation, Monte Carlo methods, and optimization.