2. Does the course teach how to detect and handle biased or inconsistent data in real-world datasets?

Q: 2. Does the course teach how to detect and handle biased or inconsistent data in real-world datasets?

Covers data integrity checks , including identifying missing, duplicate, or inconsistent entries. Teaches validation techniques to ensure data accuracy and consistency. Introduces methods to spot potential bias or anomalies in data collection. Explains cleaning and standardizing inconsistent values across multiple columns or datasets. Prepares learners to maintain high-quality, trustworthy datasets for analysis.

A

2. Does the course teach how to detect and handle biased or inconsistent data in real-world datasets?

Covers data integrity checks, including identifying missing, duplicate, or inconsistent entries.
Teaches validation techniques to ensure data accuracy and consistency.
Introduces methods to spot potential bias or anomalies in data collection.
Explains cleaning and standardizing inconsistent values across multiple columns or datasets.
Prepares learners to maintain high-quality, trustworthy datasets for analysis.