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 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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Check Out My Other Playlist
Python Playlist:
Python In English:https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVNUL99R4bDlVYsncUNvwUBB

Python In Hindi: https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v

Stats Playlist:
English 7 Days Statistics Live Session :https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay
Hindi: Stats Playlist: https://www.youtube.com/watch?v=7y3XckjaVOw&list=PLTDARY42LDV6YHSRo669_uDDGmUEmQnDJ

Complete ML Playlist: https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe

Hindi: ML Playlist: https://www.youtube.com/watch?v=7uwa9aPbBRU&list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ
5 DaysLive Deep Learning Playlist: https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

Complete Deep Learning Playlist:
https://www.youtube.com/watch?v=YFNKnUhm_-s&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi