Typical educational pathways for network engineers transitioning to data science often involve earning a degree or certificate in data science, statistics, or a related field. Alternatively, they can pursue online courses or bootcamps in data science and machine learning, gaining proficiency in programming languages like Python and learning data manipulation and analysis techniques. Practical experience through personal projects or internships can be valuable, along with networking within the data science community to explore job opportunities and stay updated on industry trends.
If you are interested in getting into this field, then check out this video about Deepa and how she upskilled from non-IT to data science with the help of Intellipaat’s Advanced Certification in Data Science and AI.
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