Mastering Data Cleaning to Consistently Generate High-Quality Data & Improve the Efficacy of Analysis
Time: 10:40 am
day: Day One AM Track One
Details:
Identifying inconsistencies, errors, and missing data: what type of data needs to be cleaned?
- Correcting and restructuring ‘dirty’ data to improve the validity of your data sets
- Adopting automation tools and processes to reduce repeated efforts for scrubbing data
