CSCI235 — Data Science with R
CSCI 235 - Data Science with R CSCI 235 - Data Science with R 5 Credits This course builds on programming fundamentals to focus on the R statistical language and its common uses for data science and applied statistics. 2.0 and either MATH& 141 or MATH& 146 min 2.0 Fees Academic Technology Fee Quarters Typically ummer Fall Winter Spring Designed to Serve Students in data science, web development or computer science and wanting to advance their skills with common toolsets. Active Date 20250521T15:17:35 Grading Basis Decimal Grade Class Limit 24 Lecture 55 Total Degree Distributions: AA ProfTech Course Yes Restricted Elective Yes ProfTech Related Instruction BAS Course Outline I. The landscape of statistical analysis and data mining II. How to analyze and explore data in preparation for analysis Introduction to tools Summary statistics and interpretation Correlation, tests, and significance Transform of data, log trans, missing data, and outliers Variable selection and data visualization Telling a story with data III. Building predictive model building, evaluation, and strategy Linear regression Logistic regression Neural network Cluster analysis Decision tree IV. Design patterns in R V. Case study in data science Student Learning
Prerequisites: CSCI132