Calculus and Optimization are usually discussed in the Machine Learning part and usually when talking about a particular algorithm.Probability and Statistics are core skills and discussed in the next section.Discrete Mathematics and Logics are not that important for Data Science.If you are interested in learning or refreshing Linear Algebra, see Best Time to Learn Linear Algebra is Now! You may expect Liner Algebra questions in the Machine Learning part of the interview (see below).What is an Eigenvalue? And what is an Eigenvector? What is Eigenvalue Decomposition or The Spectral Theorem?.In my opinion, it's always better to know the underlying theory when talking about Machine Learning algorithms, but your interviewers may have a different point of view.īasic Linear Algebra questions might include: On the other hand, for some Data Science positions there could be very few math questions, or none at all. Some background mathematics is necessary for doing Data Science, therefore you may expect math-related questions. What are possible activities at each step?.So next you may discuss each of these steps in details Data Understanding (or Data Exploration).Have you heard of CRISP-DM (Cross Industry Standard Process for Data Mining)?.Can you outline the steps in a data science project?.
Have you participated in any data science challenges? If yes, can you describe one of them?Īll Machine Learning, Data Mining and Data Science projects should follow some process, so there can be questions about it:.Have you taken any data-science-related online courses? If yes, how many did you complete with a certificate?.For aspiring data scientists: Why do you want a career in data science?.For graduating students: Tell me about your master thesis.Do you have a project portfolio? What projects you implemented? Discuss some of them in details.What companies you worked at? What was your role?.This can also happen at the telephone interview stage.įor background questions be ready to talk about a summary of your career. Usually, interviews start with background questions: they can ask you to talk about yourself. Don’t let this list of questions discourage you if you don’t know the answer to some of them: chances are that these questions are not important for your interview. So it’s rather a broad overview of things that may potentially be asked. Very few jobs require applicants to know all of these points.
This list might look scary at first, but it’s very unlikely that all of these questions will be asked during one interview. Also, going through the list and looking for the answers yourself is a good exercise to prepare for an interview.
First of all, the answer that I would write could be bad or wrong, and second, the post would be too big.
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