Data Wrangling

1.50 credits · Graduate

Preparation of data for analysis. Topics include understanding problem requirements, data profiling and structuring, data imputation, integration of data from multiple sources, data duplication, reformatting, dimensionality, metric construction, loading, metadata, and dimensions of data quality.