This Beginner to Intermediate Python Programming Course, taught by SURBHI BANSAL, is a structured, hands-on learning program designed for students, beginners, and aspiring programmers who want to build a strong foundation in Python and gradually move toward real-world application-level coding.

The course introduces Python from absolute basics and progresses step by step to intermediate concepts such as control flow, data structures, functions, file handling, exception handling, and useful Python libraries. The emphasis is on concept clarity, logical thinking, and practical coding, ensuring that learners do not just memorize syntax but actually understand how programming works.

Delivered through live online interactive classes, this course is ideal for school students, college learners, coding enthusiasts, and anyone preparing for higher studies in AI, data science, software development, or automation. The program is paced to suit both slow and fast learners, with regular practice, examples, and doubt-clearing sessions.

What Students Will Learn

1. Python Fundamentals (Strong Programming Foundation)

Students will begin with a clear understanding of Python as a language and its real-world applications.

Topics include:

• What is Python and where it is used (AI, Web, Games, Automation)

• Installing Python and setting up IDE (IDLE / VS Code)

• Writing first Python program using print()

• Understanding Python syntax, keywords, comments, and indentation

• Using input() and print() effectively

Learning Outcome:
✔ Confidence in writing basic Python programs
✔ Clear understanding of how Python works

2. Data Types, Operators & Logic Building

This module builds core programming skills needed for problem solving.

Students learn:

• Integers, floats, strings, and booleans

• Type conversion using int(), float(), str()

• Arithmetic, comparison, logical, and assignment operators

• Decision-making using if, elif, and nested conditions

• Looping using for and while

• Control flow using break, continue, and pass

Learning Outcome:
✔ Strong logical reasoning
✔ Ability to write structured programs

3. Strings & Data Structures

Students master how to handle and manipulate data in Python.

Topics include:

• String indexing, slicing, and functions (upper(), lower(), replace())

• Lists, tuples, sets, and dictionaries

• Understanding differences between data structures

• Practical programs using collections

Learning Outcome:
✔ Ability to store, access, and modify data efficiently

4. Functions, Files & Error Handling

This module introduces more professional coding practices.

Students learn:

• Defining functions using def

• Parameters and return values

• Reading and writing files using Python

• Using with statement for file handling

• Understanding errors vs exceptions

• Handling errors using try, except, and finally

Learning Outcome:
✔ Cleaner, reusable, and error-free coding

5. Introduction to Python Libraries

Students get a taste of real-world Python usage through built-in libraries.

Topics include:

• Using math, random, and datetime

• Writing small practical programs with libraries

Learning Outcome:
✔ Understanding how Python powers real applications

Teaching Method

SURBHI BANSAL follows a learner-friendly and interactive teaching style:

• Live online classes

• Step-by-step coding demonstrations

• Practice-based learning

• Regular exercises and mini-programs

• Doubt-clearing sessions

• Concept revision after every module

The approach ensures that students learn programming through doing, not just listening.

Why This Tutor

• Specializes in Python basics and intermediate programming

• Uses simple explanations with real examples

• Encourages hands-on coding practice

• Supports students with regular feedback

• Suitable for beginners with no prior coding knowledge

Benefits / Outcomes

By the end of this course, students will:

• Write clean Python programs independently

• Understand core programming logic

• Work confidently with data structures

• Read and write files using Python

• Handle errors effectively

• Be ready for advanced Python, AI, or data science learning

This course is ideal for anyone who wants to start Python properly and progress confidently.