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General Data Science Beginner Data Cleaning Basics Quiz

This quiz evaluates fundamental data cleaning concepts essential for data science work. Learn how to handle missing values, detect outliers, standardize formats, and prepare raw data for analysis. Master the core techniques that...

Questions: 20 | Attempts: 10 | Last updated: Aug 11, 2026

Sample Question 1
What is data cleaning?

The process of removing all data from a dataset

Detecting and correcting errors, inconsistencies, and missing values in raw data

Organizing data alphabetically

Deleting duplicate records only

Sample Question 2
Which method is commonly used to handle missing values in a numerical column?

Mean imputation

Mode imputation

Deletion of the entire column

Ignoring missing values

Sample Question 3
What is an outlier in data analysis?

A data point that is significantly different from other observations

The first entry in a dataset

Any negative value

Data that cannot be cleaned

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