Statistical and Data Sciences 192 - Introduction to Data Science

An introduction to data science using Python, R and SQL. Students 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. Students who have completed SDS 100 in a previous semester need not repeat it. Corequisite: SDS 100. Enrollment limited to 40.