Real Life AI Data Cleaning Example

"50% Discount for a Limited Time"

A Real Life Example showing how a Data Quality Analyst uses Middle and High School Math to spot shady and weak information and suggests what should be done to the flagged record/information.

• What’s Inside…

  • A real life example on how Data Quality Analysts use mean, median, mode, percentages, ratios, inequalities, and z scores standard deviations to spot dubious records, how they investigate their checklists and make the correct Data Cleaning decision based on the simple Mathematical concepts learned in Middle and High School.