Thomas Lumley • 12/25/2019

What is 'Data Science Practice'?

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This article describes the structure and evolution of a university-level 'Data Science Practice' course. It covers the curriculum's two main components: data preparation using the tidyverse and predictive modeling techniques from linear regression to neural networks. The author discusses practical IT challenges, tool choices (R, SQLite, DuckDB, keras), and the integration of ethics and decision theory into the technical content.

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#Data Science #R #Predictive Modeling
What is 'Data Science Practice'?

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