Data Wrangling

Catalog description

Data comes from many sources, in many formats, in varying degrees of quality. This course focuses on data wrangling, the process of extracting, cleaning, formatting, transforming, and merging data for use by data analytics software. Learners in the course will write code to collect data with imports and web scraping, remove or impute missing values, transform data to create new features, and concatenate or join data sets to collect data from a variety of sources. Most importantly, learners will think critically about their data, understanding the context of its collection and transformation to frame the conclusions of their analyses.