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Data Science Interview Questions
Questions Answers Views Company eMail

What do you understand by the term data science?

312

What do you understand by normal distribution?

444

Do you prefer python or r for text analytics?

281

Why is resampling done?

286

What is overfitting?

426

Where to seek help in case of discrepancies in tableau?

531

What are the feature vectors?

288

What do you understand by the selection bias? What are its various types?

288

What is selection bias and why does it matter?

295

What are numpy, scipy, and spark essential datatypes?

353

why is data cleaning important for analysis?

325

Can you compare the validation set with the test set?

296

Can you explain the difference between a validation set and a test set?

271

Differentiate between data modeling and database design?

293

What is the best programming language to use in data science?

322


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is the difference between skewed and uniform distribution?

307


Explain the differences between univariate, bivariate and multivariate analysis?

276


What is t test?

298


Estimate the number of square feet pizza's eaten in US each year.

310


What is logistic regression in data science?

404


What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?

280


Can you define feature vector?

274


Can you explain the difference between a Test Set and a Validation Set?

301


You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.

425


What would you add to Facebook and how would you pitch it and measure its success?

346


Explain the term binomial probability formula?

283


Which methods are defined for a class of iterators?

317


What is the supervised learning?

299


Where linear optimization is used?

373


Explain the term "data warehouse".

322