Global Certificate in Compliant Python Coding for Beginners

This course is designed for beginners with no prior programming experience who are interested in learning Python coding while understanding the importance of compliance in software development. Students will gain foundational skills in Python, including syntax, data structures, and basic programming concepts, all while learning how to apply best practices for compliance and security in their code.

Upon completion, participants will be able to write basic to intermediate Python code that adheres to industry standards and regulations, enabling them to develop secure and compliant software solutions from the start.

1. 01: Introduction to Python: Learners will be introduced to the Python programming language, its syntax, and basic programming concepts. They will gain foundational skills in writing simple programs and understand the importance of coding standards and best practices.
2. 02: Python Syntax and Data Types: This module covers Python syntax, data types, and basic operations. Learners will study how to write and execute Python code effectively, manipulate data types, and understand variable scope.
3. 03: Control Structures and Functions: Learners will explore control structures such as loops and conditional statements, and learn to write reusable functions. Practical skills include creating and using functions, understanding control flow, and managing code complexity.
4. 04: Lists, Tuples, and Dictionaries: This module focuses on data structures in Python, including lists, tuples, and dictionaries. Learners will learn how to manage collections of data, access elements, and perform operations such as sorting and filtering.
5. 05: Object-Oriented Programming in Python: Learners will delve into object-oriented programming concepts such as classes, objects, inheritance, and polymorphism. Practical skills include designing and implementing classes, creating instances, and understanding class hierarchies.
6. 06: Error Handling and Debugging: This module covers error handling techniques and debugging practices in Python. Learners will study exception handling, understand common errors, and learn how to debug code effectively using Python's built-in tools.
7. 07: File Handling and Data Persistence: Learners will learn how to read from and write to files, manage file operations, and use data persistence techniques. Practical skills include working with text and binary files, and using file operations in real-world applications.
8. 08: Compliant Python Coding Practices: This module focuses on coding standards, documentation, and best practices for writing compliant Python code. Learners will study PEP 8 guidelines, learn how to write clear and maintainable code, and understand the importance of code documentation.
9. 09: Testing and Quality Assurance: Learners will learn about testing frameworks in Python, create unit tests, and understand the importance of quality assurance in software development. Practical skills include writing and running tests, using testing tools, and performing code quality checks.
10. 10: Advanced Topics in Python: This module covers advanced Python topics such as decorators, context managers, and asynchronous programming. Learners will explore these features, understand their use cases, and learn to apply them in complex applications.