Broad professional audience — content relevant across many roles and functions.

Data scientists who apply statistical and ML techniques to extract insights from data.

Building technical literacy — understanding APIs, databases, system architecture, and engineering tradeoffs.

Skills developed in the problem-solving process improve procedural thinking, understanding basics of Python, which will be the foundation.

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