Python Basics Course Syllabus

Overview: This course provides a structured introduction to Python programming for beginners, covering essential concepts from basic syntax to practical problem-solving. The curriculum spans five core modules and a final project, designed to be completed in approximately 5 weeks with a time commitment of 4-6 hours per week. Through clear explanations, hands-on exercises, and progressive learning, you'll build a solid foundation in Python and gain confidence writing code to solve real-world tasks.

Module 1: Python Basics

Estimated time: 6 hours

• Python syntax and structure
• Variables and data types
• Expressions and basic operations
• Simple input and output

Module 2: Data Structures

Estimated time: 6 hours

• Lists and list operations
• Tuples and their immutability
• Dictionaries and key-value pairs
• Manipulating and organizing data collections

Module 3: Conditional Execution

Estimated time: 6 hours

• if, elif, and else statements
• Boolean expressions and logic
• Decision-making in programs
• Hands-on: Building logic-based applications

Module 4: Loops and Iteration

Estimated time: 6 hours

• for loops and iteration
• while loops and loop control
• Iterating over lists and dictionaries
• Automating repetitive tasks

Module 5: Functions

Estimated time: 6 hours

• Defining and calling functions
• Function arguments and parameters
• Return values and code reuse
• Hands-on: Writing modular and efficient code

Module 6: Final Project

Estimated time: 8 hours

• Deliverable 1: Design a small Python program using core concepts
• Deliverable 2: Implement data structures, conditionals, loops, and functions
• Deliverable 3: Submit working code with comments and documentation

Prerequisites

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

What You'll Be Able to Do After

• Understand and write Python syntax confidently
• Use variables, data types, and expressions effectively
• Apply conditional logic and loops to control program flow
• Create and manipulate lists, dictionaries, and tuples
• Design reusable functions to solve practical problems