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Is 50 years age too late to be a data scientist?

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It’s never too late. Since you are from an ML background, it makes things easier for you. Here are few technologies where you need to work on to become a data scientist. 

  1. Scraping

  2. SQL

  3. Data Frames

  4. Machine-Learning (Algorithms like Naive Bayes, Regularized and Linear Regression) 

  5. Visualization 

Interested in Data Science? Check out this Data Science Course by Intellipaat.  

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