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

Data Science Interview Questions

Questions Answers Views Company eMail

You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?

Facebook,

348

What would you do to summarize a Twitter feed?

Microsoft,

348

What is data science?

362

What is the goal of A/B Testing?

381

How will you define the number of clusters in a clustering algorithm?

450

What does the future hold for data scientists?

347

What is meant by Poisson regression?

382

What are essential skills and training needed in data Science?

353

Can you use machine learning for time series analysis?

336

What prior knowledge is required to become data scientist?

316

During analysis, how do you treat missing values?

409

Is it possible to perform logistic regression with Microsoft Excel?

384

How can outlier values be treated?

391

What does Machine Learning mean for the Future of Data Science?

357

How can you iterate over a list and also retrieve element indices at the same time?

336

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Un-Answered Questions { Data Science }

How much ram do I need for data science?

326

What is machine learning and how can it be used for time series analysis?

296

What is the importance of selection bias?

343

What are decorators in Python?

1333

Can you explain systematic sampling?

341

What is the difference between iterator and generator in Python?

406

How is bagging different from boosting?

374

How do you treat outlier data?

344

Explain data munging?

384

How do you build a custom function in python or r?

341

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

424

Why do we need generators in Python?

452

What is selection bias and why does it matter?

325

How are confidence intervals constructed and how will you interpret them?

311

Explain collaborative filtering

401

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