The 6-step Data Quality Method: Manchester Training Workshop

Consider these three facts:

(a) There are more than 100 ways in which data can be of “low”' quality,

(b) Data preparation (which includes data quality checks) often takes more than half of a data science project’s time, and

(c) Few data scientists or analysts have had much training in data quality.