80% of trained data scientists, in a survey, admitted to initial struggle in dealing with real-world data. Real-world data is often massive, non-standard, and disorganized, and data scientists initially struggle to make sense of it, according to a study by upskilling platform Scaler. The research was conducted with over 100 data scientists in the age group of 25-35. 50% of participants also claimed to have difficulty in understanding research papers.

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