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Data Science · Glossary

Data Imputation

The process of replacing missing data with substituted values based on other available information.

Common imputation strategies include using the mean, median, or a model-based prediction — the right choice depends on why the data is missing in the first place.

Want to actually work with Data Imputation? This concept is covered hands-on in our Data Analyst Track program — not just defined, but practiced.
View Data Analyst Track
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