Reality Of Data Science Work- What We Learn Vs What We Work In Industries
In reality, data science work often involves more data cleaning, preprocessing, and feature engineering than the more glamorous tasks like model building and...
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In reality, data science work often involves more data cleaning, preprocessing, and feature engineering than the more glamorous tasks like model building and deployment. The difference between what is learned in academia and what is practiced in industry is often due to the emphasis placed on different aspects of the work, with academia emphasizing the theory and industry emphasizing practical applications and problem-solving. Additionally, data privacy and ethical considerations are often not addressed in detail in academic settings, but are crucial in industry.
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47.7K
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10:41
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Published
Jan 31, 2023
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#yt:cc=on #Data Science #Reality of Data Science #Data Science Work #What We Learn in Data Science #What We Work in Data Science Industries #Data Science Theory vs Practice #Data Science Education #Data Science Jobs #Data Science Career #Data Science Skills #Data Science Industry Trends #Data Science Skills Gap.
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