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Best books to learn Data scientist career, in order

Data science rewards a foundation-first order, because tools without statistics produce confident nonsense. Start with statistics and the probability that underlies inference, then Python and the data-wrangling craft, then machine learning and the portfolio projects that prove you can do the work. Reading the math before the models keeps you from running algorithms you can't interpret. In this field a strong public portfolio, more than any credential, is what lands the job.

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