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 makes the difference between “long” and “wide” format data?

320

How and by what methods data visualizations can be effectively used?

344

How regularly must an algorithm be updated?

366

How often should an algorithm be updated?

327

What prior subject is required to become a data analyst?

333

How do you define data science?

325

How have you overcome a barrier to finding a solution?

304

Why is data cleaning essential in data science?

304

What is cross-validation?

297

What is meant by selection bias?

379

List the variants of backpropagation?

384

What are eigenvectors and eigenvalues?

424

Now companies are heavily investing their money and time to make the dashboards. Why?

315

What are an eigenvalue and eigenvector?

319

What are outlier values and how do you treat them?

392

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Un-Answered Questions { Data Science }

What is the travelling salesman problem?

299

Explain OLS in brief?

354

Explain box cox transformation?

391

How to create survival object in R?

565

Explain k-mean?

317

Explain the goal of a/b testing?

336

Explain about the various time series forecasting technqiues.

341

Which companies participating in Insight would you be interested in working for?

341

Could you draw a comparison between overfitting and underfitting?

407

Define some key performance indicators for the product

297

How do you treat missing values during analysis?

329

What is cart and chaid?

328

Explain systematic sampling?

326

Describe some assumptions considered important for linear regression?

312

What is the job of analytics?

363

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