36-652 Statistical Computing II

9 units, Carnegie Mellon University

A detailed discussion of computing elements relating to statistical modeling, targeted to advanced undergraduates and masters students in Statistics. Topics include databases cloud storage models data integration concepts numerical methods big data analytics frameworks machine learning models graphical user interface lowcode application development and DevOps. The course will focus on using Python programming language. Comparable programming experience in Python as judged by the instructor is required. There are very limited spots for undergraduates special permission from both instructor and advisor required.

Prerequisites: 36-650 (min C)

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