School Revise · Class 11 Artificial Intelligence · Unit 5
Code 843, Class 11. Data is the fuel of AI. Here we learn to collect, describe and picture data.
|
|
Data literacy is the ability to read, understand and use data. AI learns from data, so good data leads to good results.
Data can be collected by surveys, sensors or from records. Before using it, we explore it to check it is complete and correct.
Simple statistics describe data: the mean (average), the median (middle value), the mode (most common), and the range (spread from lowest to highest).
A chart (using a library like Matplotlib) pictures data so patterns are clear. Data pre-processing cleans the data by filling gaps and fixing errors before it is used.
Explore the idea by tapping. The interactive opens right here in the lesson.
mean.
median.
mode.
data pre-processing.
The ability to read, understand and use data.
Mean is the average; median is the middle value; mode is the most common value.
To clean it by filling gaps and fixing errors before it is used.
|
Data literacy is the ability to read, understand and use data, and AI learns from data. Data is collected by surveys, sensors or records, then explored. Statistics describe it: mean (average), median (middle), mode (most common) and range (spread). Charts picture data, and pre-processing cleans it by filling gaps and fixing errors. |
| Open the Virtual Lab |
These free Class 11 Artificial Intelligence (Code 843) notes explain data literacy for AI, collecting and exploring data, mean median and mode, visualising data, and data pre-processing with clear examples and practice, for CBSE students across India and the Gulf including the UAE, Saudi Arabia, Qatar, Oman, Kuwait and Bahrain.
© 2026 School Revise. All rights reserved. Original content aligned to the CBSE and NCERT Class 11 Artificial Intelligence syllabus. Unauthorised copying is not permitted.