Data Wrangling for Data Scienc

Catalog description

It is estimated that data scientists spend about 80% of their time finding and cleaning data. The data currently being produced is infinitely variable in its structure, presentation, and scale. This course prepares students for dealing with this infinite variety of data and how to interact with disparate sources of data. Students will be exposed to data structures and data management via Python, SQL, and other tools teaching them how to acquire, prepare, clean, and automate dataset creation.