Description
Introduction to the basics of programming for data analysis, including collecting, cleaning, and preparing data for analysis. Topics may adapt to changes in industry practices.
Upon completion, students will be able to: collect and import data; analyze data sets; clean and prepare data; organize the process of data collection, analyses, and outcomes for efficient replication.
32 lecture hours + 32 lab hours