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What challenges do network engineers often encounter when transitioning to data science, and how can they be overcome?

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Common challenges for network engineers transitioning to data science include learning complex statistical concepts and mastering programming. They can overcome these obstacles by taking online courses, attending workshops, and practicing coding regularly. Networking professionals may also need to adapt to a different work culture and build a portfolio of data science projects to showcase their skills to potential employers.

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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