Class 9 AI Unit 2: Data Literacy
22 theory hours · 28 practical hours · 10 theory marks
What this unit is about
Data literacy is the ability to read, understand and question data. The unit covers why it matters, the difference between data privacy and data security, cyber-safety practices, types of data and how to acquire it, preprocessing and interpreting data, and presenting it in an interactive dashboard (Tableau).
What the unit covers
- What data literacy is, its impact, and how to become data literate.
- Data privacy vs data security, and best practices for cyber security.
- Types of data, acquiring data, data features and preprocessing.
- Types of data interpretation, and a data dashboard project.
Key terms
- Data literacy
- Being able to read, work with, analyse and argue with data.
- Data privacy
- Who is allowed to collect and use personal data, and for what.
- Data security
- The protection that stops data from being stolen or changed, such as passwords and encryption.
- Structured vs unstructured data
- Structured data fits rows and columns; unstructured data (photos, audio, free text) does not.
- Data preprocessing
- Cleaning data before use: fixing missing values, removing duplicates and errors.
Exam-style questions
1. Differentiate between data privacy and data security.
Show answer →
Privacy is about the right to control how personal data is collected and used; security is the technical protection that keeps data safe from unauthorised access.
2. Is a spreadsheet of marks structured or unstructured data?
Show answer →
Structured, because it is organised in rows and columns.
3. Name two best practices for cyber security.
Show answer →
Use strong, different passwords with two-factor authentication, and do not open unknown links or attachments.
Sources
Unit names, hours and marks checked against the official CBSE 2026-27 curriculum on 1 November 2026. Explanations and questions are written by CogniGuru.