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Can you share insights on common challenges professionals encounter transitioning from ETL to Data Science and how to overcome them?

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Common challenges when moving from ETL to Data Science include gaining expertise in advanced analytics and machine learning, adapting to different tools and languages, and understanding the broader context of data-driven decision-making. Overcoming these challenges can be achieved by taking online courses, practicing with real-world datasets, and collaborating with Data Science teams to apply ETL skills in a more analytical and strategic context. If you are interested in getting into this field then check out this video about  Mohanaraj, and how he upskilled from ETL to Data Science with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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