55264-A: Introduction to Programming Using Python Course Overview

Target Audience for 55264-A: Introduction to Programming Using Python

Course 55264-A: Introduction to Programming Using Python is designed for beginners seeking foundational skills in Python programming.

• Aspiring Programmers and Developers
• Data Analysts and Scientists
• Students in Computer Science or Software Engineering
• Technical Professionals looking to upskill
• Hobbyists interested in learning programming
• IT Professionals needing to automate tasks
• Business Analysts wanting to understand data manipulation
• Educators and Teachers preparing to teach programming
• Quality Assurance Testers looking to write automation scripts
• System Administrators interested in scripting for task automation
• Non-technical roles seeking a basic understanding of programming concepts

Learning Objectives - What you will Learn in this 55264-A: Introduction to Programming Using Python?

Introduction to the Course's Learning Outcomes and Concepts Covered

The 55264-A: Introduction to Programming Using Python course equips students with foundational Python programming skills, focusing on data types, control flow, I/O operations, code documentation, error handling, and the use of modules.

Learning Objectives and Outcomes

• Understand and apply various data types in Python to store and manipulate data effectively.
• Perform arithmetic, comparison, and logical operations to process data and drive program logic.
• Use branching statements (if, elif, else) to create decision-making pathways in code.
• Implement loops (for, while) to iterate over data and execute code blocks multiple times.
• Conduct file and console I/O operations to read from and write to files, as well as interact with users.
• Structure code for readability and maintainability using proper documentation techniques such as comments and docstrings.
• Identify, troubleshoot, and correct syntax errors and logical bugs within Python code.
• Handle exceptions to create robust programs that can gracefully manage unexpected situations during execution.
• Utilize built-in Python modules to perform both basic and complex tasks, enhancing code efficiency and functionality.
• Gain practical experience through labs that reinforce each concept and build confidence in writing and analyzing Python code.