Data Cleaning
Data Cleaning refers to the process of identifying, correcting or removing errors, inaccuracies, duplicates and inconsistencies from datasets. This capability enhances data quality, reliability, and accuracy thus ensuring its fitness for decision-making, predictions, and business analytics.
Foundational
At an emerging level, you are developing skills in identifying, understanding, and rectifying errors or inconsistencies within data sets to improve quality and accuracy.
Developing
At a proficient level you are able to identify and execute advanced data cleaning techniques independently, ensuring high-quality data sets for analysis and decision-making within the organization.
Proficient
At an advanced level you are able to independently identify, clean, and validate data with complex structures and multiple sources, using advanced techniques and tools to ensure accuracy and reliability.
