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

Data Science Interview Questions

Questions Answers Views Company eMail

Write a function that takes in two sorted lists and outputs a sorted list that is their union?

403

You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

345

Can you cite some examples where a false negative important than a false positive?

363

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

341

Can you cite some examples where both false positive and false negatives are equally important?

400

How can you assess a good logistic model?

409

What do you understand by the job description of data scientist?

339

How can you deal with different types of seasonality in time series modelling?

354

What is an Eigenvalue and Eigenvector?

346

What prior subject is required to become data analyst?

354

Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?

420

What do you understand by statistical power of sensitivity and how do you calculate it?

348

Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?

460

How do data management procedures like missing data handling make selection bias worse?

497

What is meant by logistic regression?

395

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Un-Answered Questions { Data Science }

What do you mean by survival analysis in R?

419

How regularly must an algorithm be updated?

366

What is the k-means clustering method?

376

Can you explain interpolation and extrapolation?

329

What is selection bias?

339

Can you explain collaborative filtering?

457

What is a data science job?

425

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

323

What is correlation in R?

391

Why is DBSCAN required?

353

What are the major skills data scientist need?

308

Define an algorithm to discover when a person is starting to search for new job.

364

What are the metrics you will use to track if Uber's paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?

303

Pycharm has a debugger?

481

For linear regression, what are some of the assumptions a data scientist is most likely to make?

296

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