Certificate in Python Programming

Course Overview

The “Certificate in Python Programming” is an intensive three-month course designed to take learners from basic to advanced levels of Python programming. This comprehensive program is structured to provide in-depth knowledge and practical experience, covering every critical aspect of Python programming. The course includes 36 lectures, with each session running for two hours, totalling 72 hours of instruction. Learners will engage in hands-on exercises, projects, and assessments to solidify their understanding and application of Python programming concepts.

Course Structure
Duration: Three months
Lectures per week: 3
Hours per lecture: 2
Total hours: 72

Module 1: Introduction to Python and Programming Fundamentals (6 hours)

Lecture 1: Introduction to Python and Setting Up the Environment
Overview of Python and its Applications
Installing Python and setting up development environments (IDEs)
Writing and running Python scripts
Lecture 2: Basic Syntax and Data Types
Python syntax and code structure
Data types: integers, floats, strings, booleans
Variables and basic operations
Lecture 3: Control Flow and Conditionals
Using if, elif, and else statements
Comparison and logical operators
Practical exercises with control flow statements

Module 2: Data Structures and Collections (8 hours)

Lecture 4: Lists and Tuples
Creating and manipulating lists
List comprehensions
Introduction to tuples and their uses
Lecture 5: Dictionaries and Sets
Creating and using dictionaries
Dictionary methods and operations
Introduction to sets and set operations
Lecture 6: Advanced List and Dictionary Operations
Nested lists and dictionaries
Using loops with collections
Practical exercises with complex data structures
Lecture 7: Data Structures Case Study
Real-world applications of data structures
Hands-on project using lists, dictionaries, and sets

Module 3: Functions and Modules (6 hours)

Lecture 8: Defining and Using Functions
Creating functions and understanding scope
Function arguments and return values
Lambda functions
Lecture 9: Advanced Function Techniques
Decorators and higher-order functions
Recursion
Practical exercises with advanced functions
Lecture 10: Modules and Packages
Importing and using modules
Creating custom modules
Overview of Python Package Index (PyPI) and installing packages

Module 4: File Handling and Data Persistence (6 hours)

Lecture 11: Working with Files
Reading from and writing to files
File modes and context managers
Lecture 12: Data Serialization
Working with JSON and CSV files
Serializing and deserializing data
Lecture 13: Database Integration
Introduction to SQL and databases
Using SQLite with Python
Practical exercises with database operations

Module 5: Object-Oriented Programming (OOP) (8 hours)

Lecture 14: OOP Basics
Introduction to classes and objects
Defining attributes and methods
Lecture 15: Advanced OOP Concepts
Inheritance, polymorphism, and encapsulation
Special methods and operator overloading
Lecture 16: OOP in Practice
Designing and implementing OOP-based projects
Practical exercises with OOP principles
Lecture 17: OOP Case Study
Real-world applications of OOP
Hands-on project using OOP concepts

Module 6: Error Handling and Testing (6 hours)

Lecture 18: Error Handling and Exceptions
Understanding exceptions and error handling
Using try, except, else, and finally blocks
Lecture 19: Advanced Error Handling
Custom exceptions
Logging and debugging techniques
Lecture 20: Testing and Debugging
Writing unit tests with unittest
Debugging tools and techniques

Module 7: Advanced Python Concepts (8 hours)

Lecture 21: Iterators and Generators
Creating and using iterators
Understanding generators and yield
Lecture 22: Decorators and Context Managers
Writing and using decorators
Implementing context managers
Lecture 23: Regular Expressions
Introduction to regular expressions
Using the re module for pattern matching
Lecture 24: Concurrency and Parallelism
Understanding threading and multiprocessing
Using concurrent.futures for parallel tasks

Module 8: Data Analysis and Visualization (8 hours)

Lecture 25: Introduction to NumPy
Working with arrays and array operations
Using NumPy for numerical computations
Lecture 26: Data Manipulation with Pandas
DataFrames and Series
Data cleaning and transformation
Lecture 27: Data Visualization with Matplotlib and Seaborn
Creating plots and visualizations
Customizing and interpreting plots
Lecture 28: Data Analysis Case Study
Real-world data analysis project
Practical exercises with NumPy, Pandas, and Matplotlib

Module 9: Web Development with Flask (6 hours)

Lecture 29: Introduction to Flask
Setting up a Flask application
Understanding routes and templates
Lecture 30: Building a Web Application
Creating forms and handling user input
Connecting Flask with a database
Lecture 31: Deploying Flask Applications
Deploying Flask applications to the cloud
Practical exercises with Flask projects

Module 10: Capstone Project and Review (10 hours)

Lecture 32: Project Planning and Design
Selecting a project topic
Planning and designing the project
Lecture 33: Project Development
Implementing the project
Integrating various Python concepts
Lecture 34: Project Development (continued)
Debugging and testing the project
Preparing for presentation
Lecture 35: Project Presentation
Presenting the project to peers and instructors
Receiving feedback and making improvements
Lecture 36: Review and Next Steps
Reviewing key concepts and course highlights
Discussing advanced topics and further learning paths

Conclusion

The “Certificate in Python Programming” course is designed to provide a comprehensive and in-depth understanding of Python programming, from basic to advanced levels. Through a blend of theoretical knowledge and practical experience, learners will develop the skills to become proficient Python programmers. By the end of the course, participants will be equipped to tackle real-world programming challenges and advance their careers in software development.

Join us at CTTI and embark on a transformative journey to mastering Python programming.