CBSE Textbook: Data Literacy | Artificial Intelligence (AI) for Class 9 PDF Download

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Unit 2 - Data Literacy 
Unit 2.1 - Basics of Data Literacy 
Lesson Title: Basics of Data Literacy Approach: Session + Activity 
Summary: In this module, students are familiarized with the concept of Data Literacy. Further, they 
would be able to recognize the different categories of data and will be introduced to the culture of data 
literacy. 
Learning Objectives 
? Define data literacy and explain its importance with a real-world example 
? Relate to the impact created by data literacy in everyday life 
? Develop awareness about personal data, data privacy, and data security 
Learning Outcomes 
? Define data literacy and recognize its importance 
? Understand how data literacy enables informed decision-making and critical thinking 
? Apply the Data Literacy Process Framework to analyze and interpret data effectively 
? Differentiate between data privacy and security 
? Identify potential risks associated with data breaches and unauthorized access. 
? Learn measures to protect data privacy and enhance data security 
Pre-requisites: Basic knowledge of AI and data 
 
Key-concepts 
? Understanding of data literacy 
? Identify the difference between Quantitative (Numerical) and Qualitative (Categorical) Data 
? Impact of data literacy with the help of case studies and scenarios 
? Best practices for Cyber Security 
 
 
 
2.1.1 Introduction to Data Literacy 
Data literacy means knowing how to understand, work with, and talks about data. It's about being able 
to collect, analyze, and show data in ways that make sense. 
Reference Video: https://www.youtube.com/watch?v=yhO_t-c3yJY 
 
 
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74 
 
Unit 2 - Data Literacy 
Unit 2.1 - Basics of Data Literacy 
Lesson Title: Basics of Data Literacy Approach: Session + Activity 
Summary: In this module, students are familiarized with the concept of Data Literacy. Further, they 
would be able to recognize the different categories of data and will be introduced to the culture of data 
literacy. 
Learning Objectives 
? Define data literacy and explain its importance with a real-world example 
? Relate to the impact created by data literacy in everyday life 
? Develop awareness about personal data, data privacy, and data security 
Learning Outcomes 
? Define data literacy and recognize its importance 
? Understand how data literacy enables informed decision-making and critical thinking 
? Apply the Data Literacy Process Framework to analyze and interpret data effectively 
? Differentiate between data privacy and security 
? Identify potential risks associated with data breaches and unauthorized access. 
? Learn measures to protect data privacy and enhance data security 
Pre-requisites: Basic knowledge of AI and data 
 
Key-concepts 
? Understanding of data literacy 
? Identify the difference between Quantitative (Numerical) and Qualitative (Categorical) Data 
? Impact of data literacy with the help of case studies and scenarios 
? Best practices for Cyber Security 
 
 
 
2.1.1 Introduction to Data Literacy 
Data literacy means knowing how to understand, work with, and talks about data. It's about being able 
to collect, analyze, and show data in ways that make sense. 
Reference Video: https://www.youtube.com/watch?v=yhO_t-c3yJY 
 
 
75 
 
Data Pyramid is made of different stages of working with data 
 
 
 
 
 
 
 
 
 
 
 
 
Let us understand different parts of Data pyramid 
Moving up from the bottom 
? Data is available in a raw form. Data in this form is not very useful. 
? Data is processed to give us information about the world. 
? Information about the world leads to knowledge of how things are happening. 
? Wisdom allows us to understand why things are happening in a particular way. 
 
 
Let’s understand Data Pyramid with a simple Traffic Light example: 
 
Rahul rated the 3 films he watched consecutively as bad, best and average respectively" 
Can you filter the data from this statement? Are they of the same type? 
 
 
 
 
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74 
 
Unit 2 - Data Literacy 
Unit 2.1 - Basics of Data Literacy 
Lesson Title: Basics of Data Literacy Approach: Session + Activity 
Summary: In this module, students are familiarized with the concept of Data Literacy. Further, they 
would be able to recognize the different categories of data and will be introduced to the culture of data 
literacy. 
Learning Objectives 
? Define data literacy and explain its importance with a real-world example 
? Relate to the impact created by data literacy in everyday life 
? Develop awareness about personal data, data privacy, and data security 
Learning Outcomes 
? Define data literacy and recognize its importance 
? Understand how data literacy enables informed decision-making and critical thinking 
? Apply the Data Literacy Process Framework to analyze and interpret data effectively 
? Differentiate between data privacy and security 
? Identify potential risks associated with data breaches and unauthorized access. 
? Learn measures to protect data privacy and enhance data security 
Pre-requisites: Basic knowledge of AI and data 
 
Key-concepts 
? Understanding of data literacy 
? Identify the difference between Quantitative (Numerical) and Qualitative (Categorical) Data 
? Impact of data literacy with the help of case studies and scenarios 
? Best practices for Cyber Security 
 
 
 
2.1.1 Introduction to Data Literacy 
Data literacy means knowing how to understand, work with, and talks about data. It's about being able 
to collect, analyze, and show data in ways that make sense. 
Reference Video: https://www.youtube.com/watch?v=yhO_t-c3yJY 
 
 
75 
 
Data Pyramid is made of different stages of working with data 
 
 
 
 
 
 
 
 
 
 
 
 
Let us understand different parts of Data pyramid 
Moving up from the bottom 
? Data is available in a raw form. Data in this form is not very useful. 
? Data is processed to give us information about the world. 
? Information about the world leads to knowledge of how things are happening. 
? Wisdom allows us to understand why things are happening in a particular way. 
 
 
Let’s understand Data Pyramid with a simple Traffic Light example: 
 
Rahul rated the 3 films he watched consecutively as bad, best and average respectively" 
Can you filter the data from this statement? Are they of the same type? 
 
 
 
 
76 
 
2.1.2 Impact of Data Literacy 
Activity: Impact of News Articles (Select any trending news) 
Session Preparation Logistics: For a class of 40 Students [Pair Activity] 
Materials Required: 
ITEM QUANTITY 
Online Data Sources Clues NA 
Computers 20 
 
 
Author of the Source Weblink to the Source 
How was the situation 
described by the Source 
Key figures in the 
source 
    
    
    
    
 
You have to rank the sources of the news articles from most accurate to least, state reasons for your 
choice. 
 
Rank Data Source Remarks 
   
   
   
   
 
So, we can conclude that every data tells a story, but we must be careful before believing the story 
Data literacy is essential because it enables individuals to make informed decisions, think critically, solve 
problems, and innovate. 
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74 
 
Unit 2 - Data Literacy 
Unit 2.1 - Basics of Data Literacy 
Lesson Title: Basics of Data Literacy Approach: Session + Activity 
Summary: In this module, students are familiarized with the concept of Data Literacy. Further, they 
would be able to recognize the different categories of data and will be introduced to the culture of data 
literacy. 
Learning Objectives 
? Define data literacy and explain its importance with a real-world example 
? Relate to the impact created by data literacy in everyday life 
? Develop awareness about personal data, data privacy, and data security 
Learning Outcomes 
? Define data literacy and recognize its importance 
? Understand how data literacy enables informed decision-making and critical thinking 
? Apply the Data Literacy Process Framework to analyze and interpret data effectively 
? Differentiate between data privacy and security 
? Identify potential risks associated with data breaches and unauthorized access. 
? Learn measures to protect data privacy and enhance data security 
Pre-requisites: Basic knowledge of AI and data 
 
Key-concepts 
? Understanding of data literacy 
? Identify the difference between Quantitative (Numerical) and Qualitative (Categorical) Data 
? Impact of data literacy with the help of case studies and scenarios 
? Best practices for Cyber Security 
 
 
 
2.1.1 Introduction to Data Literacy 
Data literacy means knowing how to understand, work with, and talks about data. It's about being able 
to collect, analyze, and show data in ways that make sense. 
Reference Video: https://www.youtube.com/watch?v=yhO_t-c3yJY 
 
 
75 
 
Data Pyramid is made of different stages of working with data 
 
 
 
 
 
 
 
 
 
 
 
 
Let us understand different parts of Data pyramid 
Moving up from the bottom 
? Data is available in a raw form. Data in this form is not very useful. 
? Data is processed to give us information about the world. 
? Information about the world leads to knowledge of how things are happening. 
? Wisdom allows us to understand why things are happening in a particular way. 
 
 
Let’s understand Data Pyramid with a simple Traffic Light example: 
 
Rahul rated the 3 films he watched consecutively as bad, best and average respectively" 
Can you filter the data from this statement? Are they of the same type? 
 
 
 
 
76 
 
2.1.2 Impact of Data Literacy 
Activity: Impact of News Articles (Select any trending news) 
Session Preparation Logistics: For a class of 40 Students [Pair Activity] 
Materials Required: 
ITEM QUANTITY 
Online Data Sources Clues NA 
Computers 20 
 
 
Author of the Source Weblink to the Source 
How was the situation 
described by the Source 
Key figures in the 
source 
    
    
    
    
 
You have to rank the sources of the news articles from most accurate to least, state reasons for your 
choice. 
 
Rank Data Source Remarks 
   
   
   
   
 
So, we can conclude that every data tells a story, but we must be careful before believing the story 
Data literacy is essential because it enables individuals to make informed decisions, think critically, solve 
problems, and innovate. 
77 
 
2.1.3 How to become Data Literate? 
Every data tells a story, but we must be careful before believing the story. Data Literate is a person who 
can interact with data to understand the world around them. 
Let’s understand it with following example: 
Scenario: Buying a Video game online 
Data literacy helps people research about products while shopping over the 
internet 
How do you decide the following things when we are shopping online? 
? Which is the cheapest product available? 
? Which product is liked by the users the most? 
? Does a particular product meet all the requirements? 
 
A data literate person can – 
? Filter the category as per the requirement – If the budget is low, select the price filter as low to high 
? Check the user ratings of the products 
? Check for specific requirements in the product 
 
Data Literacy Process Framework 
The data literacy framework provides guidance on using data efficiently and with all levels of awareness. 
Data literacy framework is an iterative process. 
 
Page 5


74 
 
Unit 2 - Data Literacy 
Unit 2.1 - Basics of Data Literacy 
Lesson Title: Basics of Data Literacy Approach: Session + Activity 
Summary: In this module, students are familiarized with the concept of Data Literacy. Further, they 
would be able to recognize the different categories of data and will be introduced to the culture of data 
literacy. 
Learning Objectives 
? Define data literacy and explain its importance with a real-world example 
? Relate to the impact created by data literacy in everyday life 
? Develop awareness about personal data, data privacy, and data security 
Learning Outcomes 
? Define data literacy and recognize its importance 
? Understand how data literacy enables informed decision-making and critical thinking 
? Apply the Data Literacy Process Framework to analyze and interpret data effectively 
? Differentiate between data privacy and security 
? Identify potential risks associated with data breaches and unauthorized access. 
? Learn measures to protect data privacy and enhance data security 
Pre-requisites: Basic knowledge of AI and data 
 
Key-concepts 
? Understanding of data literacy 
? Identify the difference between Quantitative (Numerical) and Qualitative (Categorical) Data 
? Impact of data literacy with the help of case studies and scenarios 
? Best practices for Cyber Security 
 
 
 
2.1.1 Introduction to Data Literacy 
Data literacy means knowing how to understand, work with, and talks about data. It's about being able 
to collect, analyze, and show data in ways that make sense. 
Reference Video: https://www.youtube.com/watch?v=yhO_t-c3yJY 
 
 
75 
 
Data Pyramid is made of different stages of working with data 
 
 
 
 
 
 
 
 
 
 
 
 
Let us understand different parts of Data pyramid 
Moving up from the bottom 
? Data is available in a raw form. Data in this form is not very useful. 
? Data is processed to give us information about the world. 
? Information about the world leads to knowledge of how things are happening. 
? Wisdom allows us to understand why things are happening in a particular way. 
 
 
Let’s understand Data Pyramid with a simple Traffic Light example: 
 
Rahul rated the 3 films he watched consecutively as bad, best and average respectively" 
Can you filter the data from this statement? Are they of the same type? 
 
 
 
 
76 
 
2.1.2 Impact of Data Literacy 
Activity: Impact of News Articles (Select any trending news) 
Session Preparation Logistics: For a class of 40 Students [Pair Activity] 
Materials Required: 
ITEM QUANTITY 
Online Data Sources Clues NA 
Computers 20 
 
 
Author of the Source Weblink to the Source 
How was the situation 
described by the Source 
Key figures in the 
source 
    
    
    
    
 
You have to rank the sources of the news articles from most accurate to least, state reasons for your 
choice. 
 
Rank Data Source Remarks 
   
   
   
   
 
So, we can conclude that every data tells a story, but we must be careful before believing the story 
Data literacy is essential because it enables individuals to make informed decisions, think critically, solve 
problems, and innovate. 
77 
 
2.1.3 How to become Data Literate? 
Every data tells a story, but we must be careful before believing the story. Data Literate is a person who 
can interact with data to understand the world around them. 
Let’s understand it with following example: 
Scenario: Buying a Video game online 
Data literacy helps people research about products while shopping over the 
internet 
How do you decide the following things when we are shopping online? 
? Which is the cheapest product available? 
? Which product is liked by the users the most? 
? Does a particular product meet all the requirements? 
 
A data literate person can – 
? Filter the category as per the requirement – If the budget is low, select the price filter as low to high 
? Check the user ratings of the products 
? Check for specific requirements in the product 
 
Data Literacy Process Framework 
The data literacy framework provides guidance on using data efficiently and with all levels of awareness. 
Data literacy framework is an iterative process. 
 
78 
 
2.1.4 What are Data Security and Privacy? How are they related to 
AI? 
Data Privacy and Data Security are often used interchangeably but they are different from each other. 
 
 
What is Data Privacy? 
Data privacy referred to as information privacy is concerned with the proper handling of sensitive data 
including personal data and other confidential data, such as certain financial data and intellectual 
property data, to meet regulatory requirements as well as protecting the confidentiality and 
immutability of the data. 
Here are examples of two things which may compromise our data privacy 
 
 
 
Why is it important?