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Python for data
pandas for reshaping, NumPy underneath it, and notebooks kept tidy enough that someone else can rerun them.
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Data & Analytics
SQL, pandas, statistics and visualisation — plus the part that actually gets people hired: turning an analysis into a decision somebody acts on.
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Python for AI
The working subset: NumPy, pandas, and enough software practice that your notebooks survive contact with other people.
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