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At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of datawrangling, and the advice he has for aspiring data professionals. in physics and now you’re a data scientist.
The library is built on top of the popular numerical computing library NumPy and provides high-performance data structures and functions for working with structured and unstructured data.
The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data.
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