Python Functions, Files, and Dictionaries Course Syllabus

Overview: This course is designed for learners who have completed an introductory Python course and want to deepen their skills in functions, file handling, and data structures. Over five weeks, you'll gain hands-on experience writing reusable functions, processing files, and working with dictionaries and nested data structures. Each module includes practical exercises that build toward real-world programming tasks. With approximately 3–5 hours of work per week, this course provides a strong foundation for data science, automation, and software development.

Module 1: Welcome & Introduction

Estimated time: 4 hours

• Course structure and learning goals
• Installing Python and setting up the environment
• Writing your first program
• Basic syntax and print statements

Module 2: Functions

Estimated time: 4 hours

• Defining and calling functions
• Using parameters and arguments
• Return values and function scope
• Writing functions to solve real problems

Module 3: Files

Estimated time: 4 hours

• Opening and closing files
• Reading from and writing to files
• Iterating through file contents
• Building programs that process external files

Module 4: Lists & Dictionaries

Estimated time: 4 hours

• Creating and manipulating lists
• Dictionary operations and key-value pairs
• Nesting data structures
• Counting word frequencies using dictionaries

Module 5: Nested Structures & Data Manipulation

Estimated time: 4 hours

• Looping through complex data structures
• Debugging techniques for data programs
• Integrating functions, files, and dictionaries

Module 6: Final Project

Estimated time: 6 hours

• Develop a program that reads and analyzes data from a file
• Use functions to modularize logic
• Process and summarize data using dictionaries and nested structures

Prerequisites

• Familiarity with basic Python syntax
• Experience writing simple Python programs
• Understanding of variables and control flow (if, for, while)

What You'll Be Able to Do After

• Write reusable and modular Python functions
• Handle and process text and data files effectively
• Organize and manipulate data using dictionaries and lists
• Build programs that analyze real-world data from files
• Apply core programming concepts to data-focused projects