Data Structures and Algorithms(must and mandatory for top product based companies like FAANG).Mathematics(Probability, Statistics, Linear Algebra and Calculus) - Machine Learning(this includes Deep Learning) and Model building.Programming Skills(preferably in Python, if you know Scala, extra brownie points for some specific roles).Business Understanding(this is extremely critical across all seniority levels, but specifically for people with more than 3 years of experience).
#Basic data science internship question how to#
Note: For contribution, refer Contribution.md How to get an interview ?įirst and foremost, develop the necessary skills and be sound with the fundamentals, these are some of the horizons you should be extremely comfortable with. Please leave a star if you appreciate the effort.
#Basic data science internship question update#
However, I try to cover and update this frequently and my goal is to cover and unify everything into one resource that you can use to rock those interviews! This by no means is an exhaustive list and is just for helping you out if you are struggling to find some good resources to start your preparation. Word of Caution: Data Science/Machine Learning has a very big domain and there are a lot of things to learn. In this repo, I include everything from getting successfully screened and rocking that interview to land that amazing position, make sure to nail it with the following resources.Įvery Resource I list here is personally verified by me and most of them I have used personally, which have helped me a lot. With an increase in demand for so many Data Scientists, it's really hard to successfully get screened and accepted for an interview. First of all, thanks for visiting this repo, congratulations on making a great career choice, I aim to help you land an amazing Data Science job that you have been dreaming for, by sharing my experience, interviewing heavily at both large product-based companies and fast-growing startups, hope you find it useful.
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