Influence on Data Science

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Data Science Education: Many educational programs now offer specialized courses in R for data analysis, machine learning, and statistical methods, solidifying its role in academic curricula.
Cross-Industry Applications: R is utilized across various sectors, including finance (risk modeling), healthcare (clinical trials), marketing (customer segmentation), and academia (research analysis).
Collaboration with Python: The R and Python communities have increasingly collaborated, recognizing each language’s strengths. Many data scientists use both, leveraging R’s statistical prowess alongside Python’s general programming capabilities.

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