{"id":8787,"date":"2019-02-27T17:17:34","date_gmt":"2019-02-27T17:17:34","guid":{"rendered":"https:\/\/www.monsterindia.com\/career-advice\/8-interview-questions-answers-to-help-you-crack-your-next-data-analytics-interview-8787\/"},"modified":"2021-11-23T07:23:30","modified_gmt":"2021-11-23T07:23:30","slug":"8-interview-questions-answers-to-help-you-crack-your-next-data-analytics-interview","status":"publish","type":"post","link":"https:\/\/www.foundit.my\/career-advice\/8-interview-questions-answers-to-help-you-crack-your-next-data-analytics-interview\/","title":{"rendered":"8 Interview Questions & Answers to help you crack your next Data Analytics Interview"},"content":{"rendered":"\n

We all know how important it is to be well prepared before an interview and Data Analytics is no exception. You need to be thoroughly prepared and get you started, we have compiled a list of the top 8 Data Analytics Interview Questions and Answers. <\/span><\/p>\n\n\n\n

1. Can you point out some statistical methods required to be used by a data analyst?<\/strong> <\/span><\/p>\n\n\n\n

Some of the popular statistical methods that are usually used by data analysts are: <\/span>
\u2022 Bayesian method. <\/span>
\u2022 Simplex algorithm. <\/span>
\u2022 Mathematical optimisation. <\/span>
\u2022 Imputation techniques. <\/span>
\u2022 Markov process. <\/span>
\u2022 Spatial and cluster processes. <\/span>
\u2022 Rank statistics, percentile, outlier detection. <\/span><\/p>\n\n\n\n

2. Can you define the process of \u2018clustering\u2019? Please touch upon the various properties of clustering algorithms also.<\/strong> <\/span><\/p>\n\n\n\n

Clustering can be defined as a method in which data is segregated into a series of clusters and groups. Accordingly, a clustering algorithm is characterised by the following four properties: <\/span><\/p>\n\n\n\n

\u2022 Hard and soft <\/span>
\u2022 Hierarchical or flat <\/span>
\u2022 Disjunctive <\/span>
\u2022 Iterative <\/span><\/p>\n\n\n\n

3. Can you explain the data validation methods usually used by data analysts?<\/strong> <\/span><\/p>\n\n\n\n

There are two prominent ways which are used by data analysts to approach data validation: <\/span><\/p>\n\n\n\n

\u2022 Data screening<\/strong> \u2013 This process involves screening or monitoring the data to check for the presence of any possible errors and subsequently getting rid of them before data analysis can be conducted. <\/span>
\u2022 Data verification<\/strong> \u2013 This process is usually conducted to verify the accuracy of data and to get rid of inconsistencies, if any, once the data migration has been completed.  <\/span><\/p>\n\n\n\n

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