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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,

316

What would you do to summarize a Twitter feed?

Microsoft,

319

What is data science?

323

What is the goal of A/B Testing?

334

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

412

What does the future hold for data scientists?

312

What is meant by Poisson regression?

338

What are essential skills and training needed in data Science?

311

Can you use machine learning for time series analysis?

297

What prior knowledge is required to become data scientist?

288

During analysis, how do you treat missing values?

374

Is it possible to perform logistic regression with Microsoft Excel?

352

How can outlier values be treated?

364

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

321

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

302


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you compare the validation set with the test set?

296


what is bias?

323


Can you provide examples for other computations in spark?

234


Do you have some knowledge of R - analyse a given dataset in R?

293


What is the svm algorithm?

366


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

546


Why we need ggplot?

406


What is logistic regression? Or state an example when you have used logistic regression recently?

318


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

353


What are the types of biases that can occur during sampling?

308


Why is resampling done?

286


What is logistic regression in data science?

404


How will you explain JOIN function in SQL to a 10 year old ?

345


What are big data and data science?

401


What will you do if removing missing values from a dataset cause bias?

328