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FOR CBSE CLASS 12 SYLLABUS EXAM PREPARATION
CBSE Class 12 Syllabus
2027
Question Paper
EXAM YEAR TYPE DETAILS
CBSE Class 12 Syllabus 2027 Question Paper Informatics Practices
Notes · Sample Papers · Previous Year Papers · Mock Tests
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INFORMATICS PRACTICES
Subject Code - 065
Class XII (2025-26)
1. Prerequisite: Informatics Practices – Class XI
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2. Learning Outcomes
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At the end of this course, students will be able to:
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● Create Series, Data frames and apply various operations.
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● Visualize data using relevant graphs.
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● Design SQL queries using aggregate functions.
● Import/Export data between SQL database and Pandas.
● Learn terminology related to networking and internet.
● Identify internet security issues and configure browser settings.
● Understand the impact of technology on society including gender and
disability issues
3. Distribution of Marks and Periods
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Unit No Unit Name Marks
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Data Handling using Pandas and Data Visualization 25
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2 Database Query using SQL 25
3 Introduction to Computer Networks 10
4 Societal Impacts 10
Project -
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Practical
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Total 100
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4. Unit Wise syllabus
Unit 1: Data Handling using Pandas -I
Introduction to Python libraries- Pandas, Matplotlib;
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Data structures in Pandas - Series and Data Frames.
Series: Creation of Series from – ndarray, dictionary, scalar value; mathematical
operations; Head() and Tail() functions; Selection, Indexing and Slicing.
Data Frames: creation- from dictionary of Series, list of dictionaries, Text/CSV files,
display; iteration; Operations on rows and columns: add, select, delete, rename; Head
and Tail functions; Indexing using Labels, Boolean Indexing;
Importing/Exporting Data between CSV files and Data Frames.
Data Visualization
Purpose of plotting; drawing and saving following types of plots using Matplotlib – line
plot, bar graph, histogram
Customizing plots: adding label, title, and legend in plots.
Unit 2: Database Query using SQL
Revision of database concepts and SQL commands covered in class XI
Math functions: POWER (), ROUND (), MOD ().
Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING
()/SUBSTR (),
LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (),
DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
Querying and manipulating data using Group by, Having, Order by.
Working with two tables using equi-join
Unit 3: Introduction to Computer Networks
Introduction to networks, Types of network: PAN, LAN, MAN, WAN.
Network Devices: modem, hub, switch, repeater, router, gateway
Network Topologies: Star, Bus, Tree, Mesh.
Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
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Website: Introduction, difference between a website and webpage, static vs dynamic web
page, web server and hosting of a website.
Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and
plug-ins, cookies.
Unit 4: Societal Impacts
Digital footprint, net and communication etiquettes, data protection, intellectual property
rights (IPR), plagiarism, licensing and copyright, free and open source software (FOSS),
cybercrime and cyber laws, hacking, phishing, cyber bullying, overview of Indian IT Act.
E-waste: hazards and management.
Awareness about health concerns related to the usage of technology.
Project Work
The aim of the class project is to create tangible and useful IT application. The learner
may identify a real-world problem by exploring the environment. e.g. Students can visit
shops/business places, communities or other organizations in their localities and enquire
about the functioning of the organization, and how data are generated, stored, and
managed.
The learner can take data stored in csv or database file and analyze using Python libraries
and generate appropriate charts to visualize.
Learners can use Python libraries of their choice to develop software for their school or
any other social good.
Learners should be sensitized to avoid plagiarism and violation of copyright issues while
working on projects. Teachers should take necessary measures for this. Any resources
(data, image etc.) used in the project must be suitably referenced.
The project can be done individually or in groups of 2 to 3 students. The project should
be started by students at least 6 months before the submission deadline.
Practical Marks Distribution
S. No. Unit Name Marks
1 Programs using Pandas and Matplotlib 8
2 SQL Queries 7
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3 Practical file (minimum of 15 programs based on Pandas, 4 based on 5
Matplotlib and 15 SQL queries must be included)
4 Project Work (using concepts learned in class XI and XII) 5
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5 Viva-Voce 5
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TOTAL
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5. Suggested
5.1 Data Handling
1. Create a panda’s series from a dictionary of values and a ndarray
2. Given a Series, print all the elements that are above the 75th percentile.
3. Create a Data Frame quarterly sales where each row contains the item category,
item name, and expenditure. Group the rows by the category and print the total
expenditure per category.
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4. Create a data frame for examination result and display row labels, column labels
data types of each column and the dimensions
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5. Filter out rows based on different criteria such as duplicate rows.
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6. Importing and exporting data between pandas and CSV file
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1. Given the school result data, analyses the performance of the students on different
parameters, e.g subject wise or class wise.
2. For the Data frames created above, analyze, and plot appropriate charts with title
and legend.
3. Take data of your interest from an open source (e.g. data.gov.in), aggregate and
summarize it. Then plot it using different plotting functions of the Matplotlib library.
5.3 Data Management
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1. Create a student table with the student id, name, and marks as attributes where
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5. Find the min, max, sum, and average of the marks in a student marks table.
6. Find the total number of customers from each country in the table (customer ID,
customer Name, country) using group by.
7. Write a SQL query to order the (student ID, marks) table in descending order of
the marks.
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