If these are the questions you are asking to yourself, you came to the right place today. The real-world data science is drastically different than what the technical courses and academic projects could teach. That’s the sole reason, why recruiters want you to have past data science internships/experience on your profile before hiring. Having a strong technical background in data science always helps, but real-world experience adds a cherry on the cake.
In this article, we would understand this difference between an academic project and real-world project using a very common analytics problem of churn (customer retention) modelling. If you are a good story-teller, you may be able to project an academic project on your resume as a real-world industry-sponsored project, and appear to be a more promising candidate in your next interview.

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Kaggle/Academic vs Real-World Data Science Analytics
1.40 GEEK