Course Introduction: Core Python for Data Science and AI
This course, Core Python for Data Science and AI, helps you acquire fundamental Python programming skills effectively, preparing you to learn and apply Data Analysis (DA), Data Science (DS), Machine Learning (ML), and Artificial Intelligence (AI).
After completing this course, you will be able to:
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Understand Python fundamentals, including data types, syntax, control structures, conditional statements, functions, and classes. This knowledge is sufficient to start small projects and continue learning how to process data and apply machine learning and AI techniques.
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Work with development tools (IDEs) such as Visual Studio Code, Spyder, or PyCharm to write Python code and build Python applications.
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Gain essential knowledge to read and understand source code through debugging.
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Develop the knowledge and mindset to perform unit testing when necessary.
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Use common Python libraries to develop applications, build APIs, and perform data processing.
Course Schedule & Commitment
| Activity | Time Commitment |
| Video Lessons & Hands-on Labs | 2 hours/day (3 days/week) |
| Weekly Assignments | 3 hours/week |
| Final Project | 4 hours (total) |
| Total Course Duration | 2 to 4 weeks |
Final Deliverable: A personal GitHub Repository showcasing your projects, code base, and practical assignments.
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