{"id":136158,"date":"2019-01-11T20:00:25","date_gmt":"2019-01-11T14:30:25","guid":{"rendered":"https:\/\/staging-imarticus.kinsta.cloud\/?p=136158"},"modified":"2021-10-20T09:44:11","modified_gmt":"2021-10-20T09:44:11","slug":"how-should-you-prepare-for-statistic-questions-for-data-science-interviews-data-science-blog","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/how-should-you-prepare-for-statistic-questions-for-data-science-interviews-data-science-blog\/","title":{"rendered":"How Should You Prepare For Statistic Questions for Data Science Interviews"},"content":{"rendered":"

Data Science has been the buzz word of the IT field for the past few years. Courses like data science course<\/a> from Imarticus will equip you with all the skills required for a data science job. However, to ace the interviews for data science jobs, you should be well versed with the basic components of statistics too. This article discusses one of the key element in Data Science, statistics and its relevant topics to brush up before a data science job interview.
\nPreparing for Data science interviews<\/strong>
\nAs in many interviews, the statistics are also going to start with technical questions. Many interviewers try to test your knowledge and communication skills by pretending to have no idea about the basic concepts and asking you to explain them. So, it is important to learn how to convey complex concepts without using the assumed knowledge.
\nFollowing are the few important topics you could brush off before attending the interview.
\n1. Statistical features<\/strong>
\nThey are probably the most used statistics concept in data science. When you are exploring a dataset, the first technique you apply will be this. It includes the following features.<\/p>\n