Python Programming Certification Course Syllabus

Overview: This Python Programming Certification Course is designed for beginners and spans approximately 8 weeks with a weekly time commitment of 4-6 hours. The course progresses from foundational Python concepts to advanced topics like object-oriented programming, data manipulation, and visualization. Each module includes hands-on exercises to reinforce learning, culminating in a capstone project that integrates all skills. Learners will gain practical experience with real-world applications in data analysis and automation, preparing them for entry-level programming roles or further specialization.

Module 1: Python Basics

Estimated time: 5 hours

• Syntax and structure of Python programs
• Variables and data types
• Operators and expressions
• Input and output operations

Module 2: Data Structures & Functions

Estimated time: 5 hours

• Lists, tuples, sets, and dictionaries
• Nested data structures
• User-defined functions
• Function parameters and return values

Module 3: Object-Oriented Programming

Estimated time: 5 hours

• Classes and objects
• Inheritance and encapsulation
• Polymorphism and abstraction

Module 4: Modules, Packages & Exception Handling

Estimated time: 5 hours

• Importing and using built-in modules
• Creating and organizing Python packages
• Handling exceptions with try-except blocks
• Defining custom exceptions

Module 5: File Handling & Regular Expressions

Estimated time: 5 hours

• Reading and writing text files
• Working with file paths and modes
• Regular expression patterns and matching
• Parsing log files using regex

Module 6: Working with Data using Pandas

Estimated time: 5 hours

• Introduction to Pandas DataFrames and Series
• Data filtering and manipulation
• Merging and cleaning datasets

Module 7: Data Visualization with Matplotlib

Estimated time: 5 hours

• Creating line charts and bar plots
• Generating histograms and scatter plots
• Customizing plots for data presentation

Module 8: Capstone Project

Estimated time: 8 hours

• Design and develop a complete Python application
• Apply data analysis or automation concepts
• Submit project with documentation

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 clean and efficient Python code
• Manipulate and analyze real-world datasets using Pandas
• Create data visualizations using Matplotlib
• Build reusable Python modules and handle errors effectively
• Solve practical problems through automation and data analysis