Data Cleaning Techniques Every Analyst Should Master
In today’s data-centric world, accurate and clean data forms the backbone of every successful analysis. Raw data, no matter how vast or valuable, is rarely ready for immediate use. It frequently includes errors like inconsistencies, missing entries, duplicate records, and unnecessary data. For data analysts, mastering data cleaning techniques is not just a good-to-have skill — it’s a necessity.