Informatics Practices
Master Python, MySQL and database fundamentals for the CBSE Class 11 IP (065) board exam.
A complete, syllabus-aligned course for CBSE Class 11 Informatics Practices (Code 065) for the 2025-26 academic year. Covers computer systems, Python programming with NumPy, relational databases and SQL using MySQL, and emerging technology trends, with structured practical work to prepare for the 70-mark theory and 30-mark practical assessment. Built directly from the official CBSE curriculum.
What you'll learn
- ✓Identify and explain the components of a computer system, memory types, and software categories
- ✓Write Python programs using variables, operators, data types, and control statements (if-elif-else, while, for)
- ✓Manipulate lists and dictionaries using built-in methods and functions
- ✓Create NumPy arrays and understand basic array handling
- ✓Design relational database tables and apply primary, candidate, and alternate keys
- ✓Write SQL queries in MySQL using DDL, DQL, and DML commands (CREATE, ALTER, SELECT, INSERT, UPDATE, DELETE)
- ✓Filter and retrieve data with WHERE, BETWEEN, relational and logical operators, and NULL checks
- ✓Describe emerging technologies including AI, IoT, Big Data, Cloud Computing, and Blockchain
Full syllabus
Mapped to the official CBSE curriculum.
01Unit 1: Introduction to Computer System (10 marks)+
- Introduction to computer and computing: evolution of computing devices
- Components of a computer system and their interconnections
- Input/output devices
- Computer Memory: units of memory, primary and secondary memory
- Data deletion, its recovery and related security concerns
- Software: purpose and types - system and application software
- Generic and specific purpose software
02Unit 2: Introduction to Python (25 marks)+
- Basics of Python programming; interactive and script execution modes
- Structure of a program, indentation, identifiers, keywords, constants, variables
- Types of operators and precedence of operators
- Data types, mutable and immutable data types, statements and expression evaluation
- Comments, input and output statements, data type conversion, debugging
- Control statements: if-else, if-elif-else, while loop, for loop
- Lists: creating, initializing, traversing and manipulating; list methods and built-in functions - len(), list(), append(), insert(), count(), index(), remove(), pop(), reverse(), sort(), min(), max(), sum()
- Dictionaries: key-value pairs, creating, initializing, traversing, updating, deleting; methods - dict(), len(), keys(), values(), items(), update(), del(), clear()
- Introduction to NumPy: creation of NumPy arrays from a list
03Unit 3: Database Concepts and the Structured Query Language (30 marks)+
- Introduction to database concepts and its need; Database Management System
- Relational data model: domain, tuple, relation, candidate key, primary key, alternate key
- Advantages of SQL; DDL, DQL and DML
- Introduction to MySQL; creating a database; data types
- Data Definition: CREATE DATABASE, CREATE TABLE, DROP, ALTER
- Data Query: SELECT, FROM, WHERE with relational operators, BETWEEN, logical operators, IS NULL, IS NOT NULL
- Data Manipulation: INSERT, DELETE, UPDATE
04Unit 4: Introduction to Emerging Trends (5 marks)+
- Artificial Intelligence, Machine Learning, Natural Language Processing
- Immersive experience (AR, VR), Robotics
- Big Data and its characteristics, Internet of Things (IoT), Sensors, Smart cities
- Cloud Computing and Cloud Services (SaaS, IaaS, PaaS)
- Grid Computing, Blockchain technology
Tools you'll use
Exam pattern
Total 100 marks: Theory 70 marks (Unit 1: 10, Unit 2: 25, Unit 3: 30, Unit 4: 5) + Practical 30 marks.
Practical / project
Practical component carries 30 marks: Problem solving using Python (11), Creating a database in MySQL and performing queries (7), Practical file with a minimum of 14 Python programs and 14 SQL queries (7), and Viva-Voce (5). Suggested practicals include average/grade calculators, interest and EMI/GST computations, list and dictionary problems, and SQL tasks such as creating a student table, inserting records, and filtering by marks or date ranges.
Who it's for
CBSE Class 11 students taking Informatics Practices (Code 065) who want a structured, board-aligned path through Python, databases, and SQL ahead of their theory and practical exams.
What's included
- ✓Live interactive online classes with Kajal Ma'am, available in both group batch and personalised one-to-one formats
- ✓Chapter-wise handwritten and typed notes covering the full CBSE 065 syllabus (Computer Systems, Data Handling with Pandas/NumPy, Data Visualisation, Database Concepts and SQL, Emerging Technologies and Societal Impacts)
- ✓NCERT textbook and exercise solutions explained step by step
- ✓Topic-wise assignments and worksheets after each chapter to reinforce learning
- ✓Regular live doubt-solving sessions so no question goes unanswered
- ✓Board pattern paper practice (70-mark theory) with VSA, SA-I, SA-II and Long Answer question drilling
- ✓Guided practical-file preparation for the 30-mark internal/practical assessment, including Python and SQL output work
- ✓Project guidance and viva preparation for the practical exam
Why study Informatics Practices?
CBSE Class 11 Informatics Practices (Subject Code 065) is the foundation year for the more demanding Class 12 board syllabus, so a clear start here directly protects your final score. The subject is highly scoring because Python data handling with Pandas/NumPy and SQL queries carry the bulk of the 70-mark theory paper, and these are skill-based topics that reward practice over rote learning. With 30 marks reserved for practicals, students who build genuine coding and database understanding in Class 11 routinely top the subject. For commerce and humanities students especially, IP delivers real, usable data and computing skills without the heavier algorithmic load of Computer Science.
The Pandas, NumPy and SQL skills introduced in IP Class 11 are the same tools used in data analytics, business intelligence and data science roles, making the subject a strong early on-ramp for BCA, BBA-Analytics, B.Com (Data), and B.Sc Data Science / IT degrees. It also gives commerce and management students practical computing literacy that is increasingly expected in finance, marketing analytics and operations. Students aiming for full software or engineering careers can use it alongside or as a stepping stone toward Computer Science.
Learn directly from Kajal Ma'am
An MCA who has taught computer subjects since 2006, Kajal Mehta personally mentors every batch — turning dense theory into clear, exam-ready understanding.
Course FAQs
Are the Informatics Practices Class 11 classes live or recorded?+
Do you offer both group batches and one-to-one classes for IP Class 11?+
Who can join this online IP Class 11 course?+
Is the course aligned with the latest CBSE 2025-26 syllabus?+
Will you help with the practical exam and project?+
Can I get a demo class before enrolling?+
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