Data are messy, come from different sources, and are seldom complete. This course provides an in-depth study of how to prepare data coming from various sources, in different formats, with noisy information, in order to perform meaningful and sound analyses. Contents include grouping data, visualizing data, and aggregating data from the web and other sources.
Outcomes: 1) Program basic data integration and cleaning routines; 2) Evaluate the access and organization of various sources of information; 3) Assess the quality of data for a particular use case; 4) Apply techniques that group, transform and aggregate data.
Outcomes: 1) Program basic data integration and cleaning routines; 2) Evaluate the access and organization of various sources of information; 3) Assess the quality of data for a particular use case; 4) Apply techniques that group, transform and aggregate data.