Smith Syllabus SDS 192: Interterm 2021
An introduction to data science using Python, R, and SQL. Students will learn how to scrape, process, and clean data from the web; manipulate data in a variety of formats; contextualize variation in data; construct point and interval estimates using resampling techniques; visualize multidimensional data; design accurate, clear, and appropriate data graphics; create data maps and perform basic spatial analysis; and query large relational databases. No prerequisites, but a willingness to write code is necessary.
