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Learning Path
Python Fundamentals for Data Science → Capstone: Building a Maintainable Data Science Project
This path equips data scientists with the principles and practices needed to write production-quality Python code. It covers code structure, documentation, testing, error handling, performance optimization, and code review, culminating in a capstone project that applies all concepts to a realistic data science workflow.
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10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.