Python for Beginners Course Syllabus

Overview: This course is designed for absolute beginners and provides a clear, hands-on introduction to Python programming. Over approximately 6 hours of structured content, you'll progress from setting up your environment to building a practical project. Each module combines concise explanations with real-world examples, ensuring you gain confidence and competence in core Python concepts. The course concludes with a capstone project to solidify your skills and prepare you for further learning.

Module 1: Setup & Python Fundamentals

Estimated time: 0.75 hours

• Installing Python and configuring IDEs (VS Code/PyCharm)
• Setting up virtual environments using venv
• Writing your first program: Hello World
• Basic arithmetic, variables, and data types

Module 2: Control Flow & Functions

Estimated time: 1 hour

• Using if statements and boolean logic
• Implementing for and while loops
• Using break and continue statements
• Defining and calling functions, understanding scope
• Using default and keyword arguments

Module 3: Collections & Comprehensions

Estimated time: 1 hour

• Working with lists, tuples, dictionaries, and sets
• Performing common operations on collections
• Writing list, dictionary, and set comprehensions
• Understanding generator expressions

Module 4: File I/O & Error Handling

Estimated time: 0.75 hours

• Opening, reading, and writing text and binary files
• Using try / except blocks for exception handling
• Implementing finally clauses and creating custom exception classes

Module 5: Modules, Packages & Virtual Environments

Estimated time: 0.75 hours

• Structuring code into modules and packages
• Managing dependencies with pip
• Using requirements.txt for reproducible environments

Module 6: Object-Oriented Python

Estimated time: 1 hour

• Defining classes and using __init__
• Creating attributes and methods
• Implementing inheritance and method overriding
• Using super() and understanding special methods

Module 7: Working with Standard Libraries

Estimated time: 0.75 hours

• Using built-in modules: datetime, collections, os, and json
• Introduction to third-party libraries: Requests and Pandas

Module 8: Capstone Project & Next Steps

Estimated time: 0.75 hours

• Building a small CLI tool or data-processing script
• Applying core concepts in a real-world context
• Receiving guidance on next steps and advanced learning paths

Prerequisites

• No prior programming experience required
• Basic computer literacy
• Access to a computer with internet connection

What You'll Be Able to Do After

• Write and run Python scripts independently
• Automate basic tasks using Python
• Organize code using functions, modules, and classes
• Read and write files and handle errors gracefully
• Build a foundation for learning advanced topics like web development, data science, or automation