{"id":81911,"date":"2018-09-23T19:45:24","date_gmt":"2018-09-23T14:15:24","guid":{"rendered":"https:\/\/staging-imarticus.kinsta.cloud\/?p=81911"},"modified":"2023-11-30T06:25:28","modified_gmt":"2023-11-30T06:25:28","slug":"what-are-top-15-data-analyst-interview-questions-and-answers","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/what-are-top-15-data-analyst-interview-questions-and-answers\/","title":{"rendered":"What are top 15 Data Analyst Interview Questions and Answers?"},"content":{"rendered":"<h1><strong>What are the top 15 Data Analyst Interview Questions and Answers?<\/strong><\/h1>\n<p><span style=\"font-weight: 400;\">Data analytics has emerged as the latest hotshot for organisations, with tremendous opportunities arising daily in the industry.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are some of the most asked data analyst interview questions one may encounter while sitting for a data analytics job.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What are the key skills required for becoming a data analyst?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">To become a data analyst, you must possess strong Microsoft Excel skills.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A typical data analyst&#8217;s job responsibilities involve gathering and organising the data.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What qualifications are necessary to <a href=\"https:\/\/imarticus.org\/blog\/how-to-become-a-successful-data-analyst\/\">become a data analyst<\/a>?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A data analyst must have a thorough understanding of business-related tools, statistics, mathematics, and computer languages like Java, SQL, C++, etc.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For the profession, one also needs solid analytics training, data mining knowledge, pattern identification skills, and problem-solving aptitude.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What does &#8220;data cleansing&#8221; mean?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Data cleansing refers to the process of detecting and removing any inconsistency or errors from the data to improve its quality.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What are some of the best tools for data analysis?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Some of the most useful tools for data analysis are Google Search Operators, KNIME, <a href=\"https:\/\/imarticus.org\/blog\/introduction-of-tableau\/\">Tableau<\/a>, Solver and RapidMiner.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What is the KNN imputation method?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">KNN imputation method refers to the attribution of the values of missing attributes by using the attribute values nearest to the missing ones.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>Mention some best techniques for data cleansing.<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Some of the best techniques for data cleansing are \u2013<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sorting of the data, which organises them based on their categories.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Focusing attention on the summary statistics for each column\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Getting mastery of regular expression<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Creating a set of utility functions, tools, and scripts\u00a0<\/span><\/li>\n<li aria-level=\"1\">\n<h2><b>How is <a href=\"https:\/\/imarticus.org\/blog\/mining-and-visualizing-data-important-skill-required-in-data-analytics\/\">data mining<\/a> different from data profiling?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Data mining focuses on identifying essential records, analysing data collections, discovering sequences, etc.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data profiling, on the other hand, is concerned with analysing individual attributes of the data and providing valuable information on those attributes such as data type, length etc.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What are data validation methods?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">There are two ways to validate data:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data verification \u2013 once the data has been gathered, a verification is done to check its accuracy and remove any inconsistency from it.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data screening \u2013 inspection or screening of data is done to identify and remove errors from it (if any) before commencing the analysis of the data.<\/span><\/li>\n<li aria-level=\"1\">\n<h2><b>Name some common issues associated with a data analyst career.<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Some common issues which data analysts face are Missing values, Miss-spelt words, Duplicate values and Illegal values.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What is an Outlier?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The term outlier refers to a value which appears far away and diverging from an overall pattern in a sample.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>What is logistic regression?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\"><strong><a href=\"https:\/\/imarticus.org\/blog\/how-to-use-logistic-regression-in-python\/\">Logistic regression<\/a><\/strong> or logit regression is a statistical method of data examination where one or more independent values define an outcome.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h2><b>Mention the various steps in an analytics project.<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Various steps in an analytics project \u2013<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Definition of problem<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Exploration of data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Preparation of data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modelling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Validation of data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Implementation and tracking<\/span><\/li>\n<li aria-level=\"1\">\n<h2><b>What are the missing patterns generally observed in data analysis?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Some of the commonly observed missing patterns are \u2013<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Missing completely at random<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Missing at random<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Missing that depends on the unobserved input value<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Missing that depends on the missing value itself<\/span><\/li>\n<li aria-level=\"1\">\n<h2><b>How can multi-source problems be dealt with?<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">One can deal with multi-source problems by \u2013<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Restructuring schemas for attaining schema integration<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying similar records and merging them together\u00a0<\/span><\/li>\n<li aria-level=\"1\">\n<h2><b>What are the ways to detect outliers?\u00a0<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Outliers are detected using two methods.\u00a0<\/span><\/p>\n<p><b>Box Plot Method:<\/b><span style=\"font-weight: 400;\"> According to this method, the value is considered an outlier if it exceeds or falls below 1.5*IQR (interquartile range).<\/span><\/p>\n<p><b>Standard Deviation Method:<\/b><span style=\"font-weight: 400;\"> According to this method, an outlier is defined as a value that is greater or lower than the mean \u00b1 (3*standard deviation).<\/span><\/p>\n<p>Use this salary calculator to calculate your potential salary<br \/>\n<iframe loading=\"lazy\" src=\"https:\/\/www.payscale.com\/salary-calculator\/calculator-widget\" width=\"335\" height=\"430\" frameborder=\"0\" scrolling=\"no\"><br \/>\n<span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><br \/>\nRelated Article:<a href=\"https:\/\/imarticus.org\/blog\/what-is-data-analysis-and-who-are-data-analysts\/\"><strong>What is Data Analysis and Who Are Data Analysts?<\/strong><\/a><a href=\"https:\/\/imarticus.org\/blog\/analytics-data-science-jobs-in-india-2022-by-aim-imarticus-learning\/\">Analytics &amp; Data Science Jobs in India 2022 \u2014 By AIM &amp; Imarticus Learning<\/a><a href=\"https:\/\/imarticus.org\/blog\/the-rise-of-data-science-in-india-jobs-salary-career-paths-in-2022\/\">The Rise Of Data Science In India: Jobs, Salary &amp; Career Paths In 2022<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>What are the top 15 Data Analyst Interview Questions and Answers? Data analytics has emerged as the latest hotshot for organisations, with tremendous opportunities arising daily in the industry.\u00a0 Here are some of the most asked data analyst interview questions one may encounter while sitting for a data analytics job. What are the key skills [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[],"class_list":["post-81911","post","type-post","status-publish","format-standard","hentry","category-analytics"],"acf":[],"aioseo_notices":[],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/81911","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=81911"}],"version-history":[{"count":2,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/81911\/revisions"}],"predecessor-version":[{"id":257529,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/81911\/revisions\/257529"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=81911"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=81911"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=81911"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}