Course description

Course Overview

This Python Specialization Course Series is designed to provide participants with an in-depth understanding of Python programming language, with a focus on advanced topics and real-world applications.

Key Learning Objectives

By the end of this course, participants will be able to demonstrate their proficiency in advanced Python programming, understanding of more complex data types and structures, as well as the ability to develop and deploy Python applications for various purposes.

Requirements

Participants are required to have a fundamental understanding of Python programming, including the ability to write basic scripts and use common libraries. Knowledge of object-oriented programming concepts is also recommended.

Outcomes

Upon completion of the course, participants will be able to:

• Implement advanced programming techniques in Python, such as decorators, generators, and context managers.
• Utilize Python for data analysis and manipulation using libraries such as NumPy and Pandas.
• Develop web applications using Python frameworks like Django and Flask.
• Create and deploy Python applications for automation, data processing, and machine learning.
• Collaborate on and contribute to open-source Python projects.

Certification

Participants who successfully complete all courses within the Python Specialization Course Series will receive a certification demonstrating their advanced proficiency in Python programming.

What will i learn?

• Implement advanced programming techniques in Python, such as decorators, generators, and context managers.
• Utilize Python for data analysis and manipulation using libraries such as NumPy and Pandas.
• Develop web applications using Python frameworks like Django and Flask.
• Create and deploy Python applications for automation, data processing, and machine learning.
• Collaborate on and contribute to open-source Python projects.