Chapter 1: Introduction to Data Analytics

Which statement best defines "data"?

• Processed information with context

• Insights derived from patterns

• Raw, unprocessed facts or figures

• Visual representations of trends

The primary purpose of data analytics is to:

• Convert raw data into actionable insights

• Store large volumes of data securely

• Create complex spreadsheets

• Replace human decision-makers

Which is a characteristic of structured data?

• Flexible format like social media comments

• Stored in relational databases with schemas

• Includes multimedia files

• Requires manual interpretation

Unstructured data is BEST described as:

• Data organized in CSV files

• Information without predefined formatting

• Numeric values only

• Machine-generated sensor data

Why is data analytics critical for businesses?

• It guarantees accurate predictions

• It helps optimize operations and reduce costs

• It eliminates the need for data storage

• It focuses only on historical data

Which is NOT a common data type?

• Semi-structured

• Quantitative

• Hypothetical

• Time-series

An example of unstructured data is:

• An Excel payroll sheet

• A patient's MRI scan image

• Stock market transaction records

• Temperature sensor logs

What distinguishes structured from unstructured data?

• Structured data is always text-based

• Structured data follows a defined organizational pattern

• Unstructured data cannot be analyzed

• Unstructured data is smaller in volume

Which tool is typically used for analyzing structured data?

• Natural Language Processing (NLP)

• SQL databases

• Image recognition software

• Audio transcription tools

A key benefit of data analytics in healthcare includes:

• Replacing doctors with AI systems

• Identifying disease patterns from patient records

• Storing unlimited medical images

• Reducing data privacy concerns