What are the key skills and knowledge areas that a network engineer should develop to successfully transition into a data science career?

Question

Which essential skills and knowledge domains should network engineers focus on to effectively shift into a data science career?

Answer 1

A network engineer looking to transition into a data science career should focus on developing skills in programming (e.g., Python, R), statistics, machine learning, and data analysis. They should also gain proficiency in data manipulation, visualization, and SQL. Understanding domain-specific knowledge related to data sources and industry applications is crucial. Additionally, learning about big data technologies can be beneficial for handling large datasets.

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