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Data Science Interview Questions
Questions Answers Views Company eMail

What do I need to study to become a data analyst?

279

Explain difference between binomial and Poisson distribution?

280

What do you understand by Poisson distribution?

282

What are the key elements of the statistical graphics?

295

Explain Examples of Data Science?

283

What are the roles and responsibilities of a data scientist?

298

What are data science and analytic?

351

What is the job of analytics?

312

What is meant by classical ANOVA?

361

What is the job description for a data scientist?

280

What are limitations of DBSCAN?

411

What are Random Forests?

296

What do you do as a data scientist?

311

Why we need ggplot?

393

What are Important things to remember for ggplot?

357


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you compare the validation set with the test set?

290


Define data discretization?

251


Define data reduction?

241


What are apis used for?

331


Name the packages that are based on density based on the algorithm?

259


What is the difference between bayesian estimate and maximum likelihood estimation (mle)?

277


Define a sql query? How do you use sql in sas, python, r languages?

345


Name some packages in r and python for building regression models.

278


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

295


When do you need to update the algorithm in data science?

281


Why is dimensional reduction performed before fitting a support vector machine (svm)?

326


What is churn? How would it help predict and control churn for a customer?

311


Check whether a given integer is a palindrome or not without converting it to a string.

341


How often should an algorithm be updated?

276


What do you understand by clustering?

258