CBSE Computer Science with Python, SQL & Data Handling – Weekday Online Classes by Pooja Khatter

This CBSE Computer Science with Python, SQL & Data Handling Course, taught by Pooja Khatter, is a comprehensive and practical program designed for school students who want to master programming, logical thinking, and real-world computing skills. The course follows the latest CBSE Computer Science syllabus and integrates computational thinking, core Python, data structures, file handling, Pandas, SQL, networking, and cyber safety into a structured learning pathway.

Unlike purely theoretical computer classes, this program emphasizes hands-on coding, problem-solving, and project-based learning, ensuring that students not only understand concepts but can also apply them in real applications. The course is ideal for Class 11 and 12 CBSE Computer Science students, beginners in Python, and learners aiming for strong programming fundamentals for higher studies in engineering, data science, or IT.

Delivered through live weekday online classes, the course provides interactive learning, regular practice, and continuous assessment to build confidence and technical competence.

What Students Will Learn

1. Computational Thinking & Problem Solving

Students will develop logical reasoning and structured problem-solving skills.

Key topics:

• Steps of problem-solving

• Algorithm design (CBSE format)

• Flowcharts

• Types of programming errors

Outcome:
✔ Strong logical thinking
✔ Clear structured approach to coding

2. Python Programming Fundamentals (Core Python)

A complete foundation in Python programming.

Topics covered:

• Python tokens and keywords

• Data types and variables

• Operators

• Input/output operations

• Type conversion

Outcome:
✔ Ability to write basic Python programs confidently

3. Conditional & Looping Statements

Students learn decision-making and iteration in programming.

Topics:

• if, if-else, nested if

• for loop, while loop

• break and continue statements

Outcome:
✔ Efficient program control and logic building

4. Functions & Recursion

This module builds advanced coding skills.

Topics:

• Defining functions

• Parameters vs arguments

• Return statement

• Recursion

Outcome:
✔ Modular and efficient coding techniques

5. Data Structures in Python

Students master data handling in Python.

Topics:

• Strings: slicing and built-in functions

• Lists: traversal and searching

• Tuples: properties and use cases

• Dictionaries: operations and programs

Outcome:
✔ Ability to store, process, and manipulate data effectively

6. File Handling in Python

Students learn to work with external files.

Topics:

• Text file handling

• read(), write(), append()

• CSV file processing

Outcome:
✔ Real-world data storage and retrieval skills

7. Data Handling with Pandas

Introduction to data analysis using Python.

Topics:

• Pandas Series

• DataFrames

• Reading CSV files

• Basic data analysis

Outcome:
✔ Foundation in data science and analytics

8. SQL & MySQL Database

Students learn database concepts and queries.

Topics:

• Database fundamentals

• SQL commands: CREATE, INSERT, SELECT, UPDATE, DELETE

• Python–MySQL connectivity (basics)

Outcome:
✔ Ability to manage structured data using SQL

9. Computer Networks

Understanding how the internet works.

Topics:

• Types of networks

• Network devices

• Protocols

• IP address vs domain name

Outcome:
✔ Clear understanding of networking basics

10. Cyber Safety & Security

Essential digital awareness.

Topics:

• Cyber crimes

• Malware threats

• Safe online practices

Outcome:
✔ Responsible and secure use of technology

Practical & Project Work (Mandatory)

Students will complete:

• 15–20 Python programs

• SQL queries

• File handling programs

• Viva based strictly on syllabus

Project options:

• Student Management System

• Library Management System

• School Result System

Outcome:
✔ Real-world programming experience

Teaching Method

Pooja Khatter follows a structured and practical teaching approach:

• Live weekday online classes

• Step-by-step coding demonstrations

• Regular practice assignments

• Doubt-clearing sessions

• Exam-focused revision

• Project guidance and evaluation

Why This Tutor

• Strong focus on core Python and CBSE syllabus

• Hands-on coding approach

• Regular practice-based learning

• Clear explanations with examples

• Exam and project-oriented training

Benefits / Outcomes

By the end of this course, students will:

• Master CBSE Computer Science syllabus

• Write efficient Python programs

• Understand SQL and databases

• Work with real data using Pandas

• Build complete software projects

• Be well-prepared for board exams and future coding studies