Course Map: Basic Python

1. Strengths

• Beginner - Friendly Content: Designed for individuals with no prior programming experience.
• Hands - on Approach: Includes practical exercises and projects for real - world application.
• Interactive Learning: Features quizzes, coding challenges, and instant feedback through the LMS.
• Versatility: Covers the foundational concepts of Python, a widely - used and versatile programming language.
• Industry Relevance: Python is popular in web development, data science, automation, and artificial intelligence.

2. Challenges

• Diverse Learning Paces: Learners may progress at varying speeds, requiring adaptive resources.
• Abstract Concepts: Introducing programming logic and debugging can be challenging for absolute beginners.
• Resource Dependence: Learners without access to tools like Python IDE or an online coding environment may face difficulty.
• Engagement: Keeping learners motivated in an online self - paced setup can be a hurdle.

3. Opportunities

• Skill Development: Provides a foundation for advanced Python topics, such as data science, web frameworks, or machine learning.
• Problem - Solving: Encourages analytical thinking and structured problem - solving skills.
• Portfolio Building: Students can create small projects to showcase in their professional portfolio.
• Career Pathways: Serves as a stepping stone for careers in software development, automation, and IT.
• Upskilling: Useful for non - programmers transitioning into technical roles.

4. Course Learning Outcomes (CLOs)

• Upon successful completion of this course, learners will be able to:
1. Understand Python Basics: Explain the core concepts of Python programming, including syntax, data types, and control structures.
2. Write Python Scripts: Develop simple programs using Python to solve problems.
3. Debug Python Code: Identify and fix common errors in Python scripts.
4. Apply Python Libraries: Utilize basic libraries such as math and random for practical use cases.
5. Build Projects: Create a small project (e.g., a calculator or basic text - based game) demonstrating Python programming skills.
6. Prepare for Advanced Learning: Lay the groundwork for learning advanced Python topics or related technologies.