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?

... ...

... ...

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.