Data Science Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Data Science Interview Questions

Questions Answers Views Company eMail

What is the difference between supervised and unsupervised methods?

325

What is a z test, chi square test, f test and t test?

321

What packages are used for data mining in python and r?

308

What are the various classification algorithms?

310

What is data science? Also, list the differences between supervised and unsupervised learning.

282

A certain couple tells you that they have two children, at least one of which is a girl. What is the probability that they have two girls?

385

List the differences between supervised and unsupervised learning.

320

How does data cleaning plays a vital role in analysis?

361

What is back propagation and explain it’s working.

302

What is the role of activation function?

451

Explain the structure of artificial neural networks?

375

Explain the difference between a validation set and a test set?

278

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?

440

How can you generate a random number between 1 – 7 with only a die?

546

What is the difference between “long” and “wide” format data?

295

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Un-Answered Questions { Data Science }

What do you understand by term hash table collisions?

276

What is the basic responsibility of a data scientist?

290

Explain why data cleansing is essential and which method you use to maintain clean data?

294

How can you solve a problem that has no solution?

279

You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

316

What do you understand by bias, variance trade-off?

284

What are decorators in Python?

1219

Explain each data visualization in detail?

290

What is the science of data in simple words?

306

What do you understand by confusion matrix?

321

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

263

How can you decide if one algorithm is better than the other?

415

During analysis, how do you treat missing values?

372

How would churn help predict and control churn for a customer?

267

What is market basket analysis?

328

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