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

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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.

If you are interested in getting into this field, then check out this video about Chhandak and how he easily learned data science despite being from the network engineering domain with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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