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CS92PROD
Advanced R: Building Open-Source Tools for Data Science

QAC 356
Fall 2018
Section: 01  
Certificates: Applied Data Science

An in-depth exploration of the R programming language and development environment; from syntax and data structures, to data analysis and visualization, report writing, project management, and software development. Students will work in teams to create open-source data science applications that can used to manage and prepare data, perform statistical analysis, and create compelling visualizations and reports. Students will also have an opportunity to contribute to a shared Wesleyan R package that contains datasets and functions that are useful for teaching introductory and advanced data science courses.
Credit: 1 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: LaboratoryGrading Mode: Graded
Level: UGRD Prerequisites: QAC201 or MATH132 or ECON300 or QAC302 AND COMP112 AND QAC156 or QAC211 or QAC251
Fulfills a Major Requirement for: (CADS)(DATA-MN)
Past Enrollment Probability: Not Available

Last Updated on JUN-20-2019
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