Python Programming Fundamentals Course Syllabus

Overview: This beginner-friendly course offers a comprehensive introduction to Python programming, designed for those starting their journey in software development or data analysis. The curriculum is structured into six core modules, each focusing on essential Python concepts and practical skills. With a total time commitment of approximately 24 hours, learners engage in self-paced study, progressing from basic syntax to debugging and version control. Hands-on exercises and real-world examples ensure a solid foundation in Python, culminating in a final project that demonstrates proficiency. Ideal for aspiring Python Developers, Data Analysts, or Software Engineers seeking to build employable coding skills.

Module 1: Introduction to Python

Estimated time: 4 hours

• Introduction to Python programming and its applications
• Installing Python and setting up the development environment
• Introduction to Jupyter Notebook
• Writing and running your first Python program

Module 2: Variables and Data Types

Estimated time: 4 hours

• Understanding variables and assignment in Python
• Working with basic data types: integers, floats, strings, and booleans
• Type conversion and type checking
• Basic operations and expressions using variables

Module 3: Control Flow

Estimated time: 4 hours

• Implementing conditional statements (if, elif, else)
• Using comparison and logical operators
• Creating loops with for and while statements
• Controlling loop execution with break and continue

Module 4: Functions and Modules

Estimated time: 4 hours

• Defining and calling functions
• Passing arguments and returning values
• Organizing code with modules and importing libraries

Module 5: Data Structures

Estimated time: 4 hours

• Working with lists: creation, indexing, and methods
• Using tuples and understanding immutability
• Manipulating dictionaries: keys, values, and iteration
• Choosing the right data structure for the task

Module 6: Debugging and Version Control

Estimated time: 4 hours

• Identifying and fixing common syntax and logic errors
• Using print statements and debuggers effectively
• Introduction to Git for version control
• Creating and managing a GitHub repository for portfolio development

Prerequisites

• No prior programming experience required
• Basic computer literacy
• Access to a computer with internet connection for installing Python and Jupyter Notebook

What You'll Be Able to Do After

• Write basic Python programs using variables, data types, and operators
• Implement conditional statements and loops to control program flow
• Utilize functions and modules to write reusable and organized code
• Manipulate data using lists, dictionaries, and other data structures
• Debug code and handle errors effectively while using Git for version control