![]() So, big data is the thing that data science analyzes. However, the answer itself is very simple - since the term ‘big data’ implies huge volumes of data and information, it needs a specific method to be analyzed. This is mostly because of a lack of information surrounding the topic. Surely one of the more tricky data science interview questions, a lot of people fail to express a clear difference. Question 2: What’s the difference between ‘data science’ and ‘big data’? The way that this form of science works is that it uses various algorithms and applied mathematics to extract useful knowledge and information and arrange it in a way that would make sense and grant some sort of usage. Have you ever wondered which online learning platforms are the best for your career? See & compare TOP online learning platforms side by side Question 1: What is ‘data science’?ĭata science is a form of methodology that is used to extract and organize various data and information out of huge data sources (both structured and unstructured). ![]() Let’s take it from the top and talk definitions. Question 9: How many common Hadoop input formats are there? What are they? Question 8: What if two users were to access the same HDFS file at the same time? ![]() Question 7: What’s the difference between ‘bivariate’, ‘multivariate’ and ‘univariate’? Question 6: What’s the difference between ‘expected value’ and ‘mean value’? Question 5: What’s the difference between ‘supervised’ and ‘unsupervised’ learning? Question 4: Which is better - good data or good models? Question 1: Define ‘collaborative filtering’. Advanced-Data Science Interview Questions Question 15: Can you tell how the validation set with the test set differs? Question 14: Do you know what is Eigenvectors and Eigenvalues? Question 13: Can you name the differences between overfitting and underfitting? Question 12: What is the statistical power of sensitivity? Question 11: What do you know about ‘Normal Distribution’? Question 8: What is Hadoop and why should I care? Question 6: Name a reason why Python is better to use in data science instead of most other programming languages. Question 5: What’s a ‘recommender system’? Question 4: What are the fundamental features that represent big data? Question 3: What’s the difference between a ‘data scientist’ and a ‘data analyst’? ![]() At the very end, I'll give you a couple of tips and we'll summarize the tutorial. Well talk about big data interview questions, differentiate data scientists from data analysts and so on. The guide is split into two big parts - the basics and the more advanced stuff. This tutorial will provide you with exactly that. So if you’re thinking about applying for a data scientist job position, you’ll need to know the essential data science interview questions. The job opportunities for this position are constantly increasing, as are ways to enter the market – take online data science courses on platforms like DataCamp and Udacity, for example. Naturally, there’s a huge need for qualified data scientists in the market. This is where data science comes in - it provides a way of making sense of all of that information. The actual number could be hard to even comprehend! Such amounts of various data need to be structured and organized for them to make any sense. Every day, there are vast amounts of information entering the internet.
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