Learning Outcomes
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Gain fundamental knowledge of Python syntax, variables, and data types.
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Write Python code using loops, conditionals, and functions to solve problems.
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Understand and apply Python’s built-in data structures: lists, tuples, sets, and dictionaries.
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Handle file operations (read, write) and use Python libraries for specific tasks.
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Develop programs using object-oriented concepts: classes and inheritance.
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Build critical thinking and problem-solving skills through coding assignments and projects.
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Create small projects (e.g., games, data visualizations, simple web apps) to reinforce learning.
Expected Skills After Course Completion
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Ability to write, debug, and run Python programs independently.
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Apply Python to math, science, data analytics, and general problem-solving tasks.
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Build foundational knowledge for advanced fields: data science, AI, web development, automation.
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Be able to collaborate with peers using Python and document code effectively.
Career and Academic Relevance
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Python is highly demanded in software development, data analysis, machine learning, research, robotics, finance, and creative arts.
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Learning Python opens up opportunities for various in-demand jobs and project-based learning