Trying to get a job as Data Scientist/ Data Analyst/ Data/ML Engineer? We will help you prepare yourself for the interview with basics. Also you will get to know the following:
How to crack the interview?
Do's and Dont's?
How much of statistics do I need to know?
Need to do a MS or PhD to become a Data Scientist?
... ...
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etc.
Let's get started!!!
Q: Explain Central Limit Theorem?
A: Here, you dont have to explain the theorem in detail, rather answer them what it means & how Central Limit Theorem can be used (practical applicability). A random variable is independent, identical and distributed (iid) then the sum and mean of the sampling distribution will follow a normal distribution as n (no. of samples) becomes larger (n >30).
Q: What is supervised learning and un-supervised learning?
A: Supervised learning requires labeled data for training the model. Unsupervised learning does not require labeling data explicitly.