Course Description
Introduces students to data analytics with the R programming language. Covers programming fundamentals and focuses on storing and manipulating data. Concludes with a data exercise to put knowledge and skills across topics into practice.
Athena Title
R Prog Bus Analytics I
Non-Traditional Format
This course will be taught 95% or more online.
Grading System
S/U (Satisfactory/Unsatisfactory)
Course Objectives
Learning Outcomes • Basics of data analytics • The markdown language for technical documentation • The R ecosystem for data analytics • R language fundamentals • Data representation and data manipulation in R
Topical Outline
R Workflow • Programming basics • Scripts and running code • Projects, paths, and directories Data Exploration • Exploratory data visualization (ggplot2) • Transforming data (dplyr) • Variable types, missing values • Variation, covariation, basic model building Data Wrangling • Data structures (tibble) • Data import (readr) • Tidy data (tidyr) Data Communication • R markdown • Graphics for communication
Syllabus