15-106 Introduction to Computing for Data Analysis

5 units, Carnegie Mellon University

[Course Pilot An introductory course in programming for students in statisticsrelated disciplines using R. Fundamental data types and data structures booleans, numbers, characters, vectors, matrices, data frames, and lists. Programming constructs assignment, conditionals, loops, function calls. Processing data vectorization, apply functions, text processing, plotting tools. Additional topics, time permitting writing functions, using data files, random number generation and simulation. This course is not for credit for SCS majors.

Prerequisites: none listed

Courseweave needs JavaScript to show sections, workloads and planning tools.