Monday, 15 July 2019

What 70% of Data Science Learners Do Wrong by Dan Becker via @Medium

Corporate data science is still a new field. Many academics haven’t worked on real problems for real businesses yet. So they teach textbook algorithms in a way that’s separated from data and business context. This can be intellectually fun. But, students are mistaken if they assume these courses prepare them well to work as data scientists.
Short, solid read.

Worth reading and understanding what he means - my advice would be to log onto Kaggle and do some competitions as some are for real companies and they provide realistic data. If you can do one of those and get a good result you have a better chance in the real world of work. Also, it is useful to have the code for them in Github and available for any potential interviews.

No comments:

Post a Comment

Note: only a member of this blog may post a comment.