In this video I talk through what you need to know before starting a data science internship. I also give you some tips on how to prepare for these internships as a whole.
First, I recommend just applying. A bias towards action helps you to figure out the areas that you need to work on.
I also think you should have at least a foundation in programming either using python or R. You also should have taken at least an intro to stats course.
If you want to put your best foot forward, you should be familiar with the 3 main types of data science algorithms: Regression, Classification, and Clustering.
I also recommend that you do some projects to solidify these skills. These are some beginner projects that I recommend doing: https://www.youtube.com/watch?v=8igH8qZafpo
Finally, it isn’t the end of the world to not get a data science or machine learning internship. You have plenty of options that can still look good on your resume.
Project from scratch series: https://www.youtube.com/playlist?list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t
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