DATA 2500 [0.5 credit] Data Wrangling in R
Reproducible workflows from acquisition, to cleaning, manipulation, and visualization. Data are acquired from databases, APIs, and web scraping. Cleaning and manipulating Numeric, categorical, date, and text data are introduced including regular expressions. Data visualization and report generation using dynamic tools are emphasized.
Prerequisite(s): (COMP 1005 or COMP 1405), STAT 1500, and one of (DATA 1517, STAT 2507, or STAT 2655).
Lectures three hours a week, laboratory one hour a week.
Lectures three hours a week, laboratory one hour a week.
Data Science
Undergraduate Calendar
https://calendar.carleton.ca/undergrad/undergradprograms/datascience/
The following categories of courses are used in defining the program requirements in the Bachelor of Data Science program.
Co-operative Education
Undergraduate Calendar
https://calendar.carleton.ca/undergrad/regulations/co-operativeeducation/
...COMP 1406, DATA 1519, STAT 1500, and either DATA 2200 or DATA 2500; Obtained an...