Yes, network engineers transitioning into data science should focus on Python for programming, data manipulation libraries like pandas, machine learning tools such as scikit-learn, and data visualization with Matplotlib and Seaborn. Proficiency in SQL for data querying and understanding big data platforms like Hadoop and Spark can also be valuable for managing and analyzing 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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