Data Curation and Cleaning

Catalog description

This course focuses on curating and cleaning large-scale datasets. The presence of incorrect and inconsistent data can significantly distort results of analysis, often negating the potential benefits of information-driven approaches. As a result, a variety of research over the last decades has focused on data cleansing: computational procedures to automatically or semi-automatically identify - and, when possible, correct - errors in large data sets. The goal of this course is to explore and discuss different data curation and cleaning tools and techniques that help improve data quality and reliability.