Q1
What does data science involve?
ACollecting, analysing and interpreting data
BOnly storing data without analysis
CIgnoring all data
DOnly deleting data
CBSEClass 10 (CBSE)Artificial IntelligenceCh 3 · Topic 2
Practising Data Science and Data Literacy
Data science involves collecting, analysing, and interpreting data to find useful patterns and insights, while data literacy means understan
Core concept
Data scientists collect data from various sources, clean it to remove errors, and then analyse it using statistical and computational methods to find meaningful patterns.
How it works
Data literacy means being able to read, understand, and critically evaluate data, including recognising misleading graphs or statistics that might be shown incorrectly.
Why it matters
Data is used to make informed decisions in fields like healthcare, business, and government, helping identify trends, predict outcomes, and solve problems more effectively.
Key detail
Developing data literacy skills helps us become informed citizens and consumers, able to question and understand the data-driven claims we encounter daily.
Exam highlight
Key diagram
Keywords worth remembering
Trending
practising data science and data literacycbse class 10 artificial intelligence
Most searched
CBSE class 10 practising data science and data literacy
Quick revision
Study resources
Notes & downloads
Quick notes
• Data science involves collecting, analysing and interpreting data.
• Data scientists clean data to remove errors.
• Statistical and computational methods find patterns.
• Data literacy means understanding and using data effectively.
• Data literacy includes spotting misleading graphs or statistics.
• Data helps decisions in healthcare, business and government.
• Data helps identify trends and predict outcomes.
• Data literacy helps us evaluate data-driven claims.