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

Data Science Interview Questions

Questions Answers Views Company eMail

How can I achieve accuracy in the first model that I built?

303

What do you mean by word data science?

402

What are the differences between overfitting and underfitting?

418

What is bias – variance tradeoff?

307

What is cluster sampling?

416

Explain the difference between overfitting and underfitting?

366

What is k-means?

333

Define some key performance indicators for the product

292

What is k-means? How can you select k for k-means?

335

What do you understand by term hash table collisions?

310

What are the variants of back propagation?

347

How has your prior experience prepared you for a role in data science?

307

What is systematic sampling?

322

How to understand the problems faced during data analysis?

330

How is data modeling different from database design?

308

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Un-Answered Questions { Data Science }

What is the job of analytics?

356

What devices or tools help you most as a data scientist?

302

How do data scientists use statistics?

323

Explain eigenvalue and eigenvector

319

How would you add value to the company through your projects?

372

Give a large dataset, find the median.

333

How is data modeling different from database design?

308

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

332

Why do we need generators in Python?

445

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

411

What is the difference between an analyst and a data scientist?

324

What is a C ++ iterator?

302

Define a sql query?

330

How many sorting algorithms are available?

374

What is a recommender system?

364

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