{"id":5324,"date":"2024-10-01T13:41:11","date_gmt":"2024-10-01T13:41:11","guid":{"rendered":"https:\/\/techsaga.co.uk\/certzipblog\/data-analyst-vs-data-scientist\/"},"modified":"2024-10-22T11:36:25","modified_gmt":"2024-10-22T11:36:25","slug":"data-analyst-vs-data-scientist","status":"publish","type":"post","link":"https:\/\/www.certzip.com\/blog\/data-analyst-vs-data-scientist\/","title":{"rendered":"\u00a0Data Analyst vs Data Scientist"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">Data Analyst vs Data Scientist:<strong><a href=\"https:\/\/www.certzip.com\/course\/data-analytics-with-r-certification-training\">Data analysts<\/a><\/strong> and <a href=\"https:\/\/www.certzip.com\/course\/data-science-certification-training\">data scientists<\/a> define two of the most in-demand, high-paying jobs in 2022. Data Science and Data Analytics work with data but are different from each other. If you&#8217;re interested in a career operating with big data and numbers, there are two paths you may want to choose \u2014becoming a data analyst or a data scientist.\u00a0<\/span><\/span><\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_69_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.certzip.com\/blog\/data-analyst-vs-data-scientist\/#Who_are_Data_Analysts\" title=\"Who are Data Analysts?\">Who are Data Analysts?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.certzip.com\/blog\/data-analyst-vs-data-scientist\/#Who_are_Data_Scientists\" title=\"Who are Data Scientists?\">Who are Data Scientists?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.certzip.com\/blog\/data-analyst-vs-data-scientist\/#Data_Analyst_vs_Data_Scientist_%E2%80%93_Differences\" title=\"Data Analyst vs. Data Scientist &#8211; Differences\">Data Analyst vs. Data Scientist &#8211; Differences<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Who_are_Data_Analysts\"><\/span><span style=\"color: #8e44ad;\"><span style=\"font-size: 24px;\"><span style=\"font-family: Arial;\"><strong>Who are Data Analysts?<\/strong><\/span><\/span><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">A Data Analyst is a trained professional who gathers data from multiple sources, organizes it, and performs analysis on it. Businesses induce data from log files, customer information, transaction data, etc. Data analysts&#8217; job is to convert these valid business data into actionable insights. Data analysts use data manipulation techniques to analyze and decipher complex data sets to help companies and organizations make better judgments.<\/span><\/span><\/span><\/p>\n<h3 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Who_are_Data_Scientists\"><\/span><span style=\"color: #8e44ad;\"><span style=\"font-size: 24px;\"><span style=\"font-family: Arial;\"><strong>Who are Data Scientists?<\/strong><\/span><\/span><\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">Data Scientists are experienced specialists who comprehend business challenges and possibilities and create the most suitable solution utilizing modern tools and techniques. They employ statistical methods, data visualization techniques, and machine learning algorithms to make predictive models and solve challenging problems. Data Scientists emanate meaningful information from messy and unstructured data and communicate necessary information and understandings to business executives and stakeholders.<\/span><\/span><\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Data_Analyst_vs_Data_Scientist_%E2%80%93_Differences\"><\/span><span style=\"font-size: 24px;\"><span style=\"color: #8e44ad;\"><span style=\"font-family: Arial;\"><strong>Data Analyst vs. Data Scientist &#8211; Differences<\/strong><\/span><\/span><\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>\u00a0Responsibilities<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Data Analyst<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">1. Manage data from databases and warehouses, filter, and clean it.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">2. Write complex SQL queries and scripts to collect, store, manipulate, and retrieve data from RDBMS such as MS SQL Server, Oracle DB, and MySQL.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">3. Create various operating charts and graphs using Excel and BI tools.\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">4. Point ot trends and patterns from complex datasets.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Data Scientist\u00a0<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">1. Conduct ad-hoc data mining and gather extensive sets of structured and unstructured data from several references.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">2. Utilize different statistical methods and data visualization techniques to create and evaluate developed statistical models from extensive volumes of data.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">3. Create AI models operating various algorithms and in-built libraries.\u00a0\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">4. Automate tiresome tasks and develop insights utilizing machine learning models<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Education<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">No special educational qualification is required to become a data analyst or a data scientist. It would help if you held a degree in any relevant field, engineering in computer science, information technology, electrical or mechanical engineering. One can also be a graduate in mathematics, statistics, or economics.\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><strong><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">Skills<\/span><\/span><\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Data Analyst<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>1.<\/strong><\/span><\/span><\/span><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"> Good experience in statistics and probability<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">2. Knowledge of Python programming and SQL<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">3. Analyzing data with MS Excel and building reports using Tableau<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">4. Data wrangling<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">5. Exploratory data analysis<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Data Scientist\u00a0<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>1.<\/strong><\/span><\/span><\/span><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"> A strong foundation in calculus, linear algebra, statistics, and probability.\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">2. Well-versed in Python, SQL, R, SAS, MATLAB, and Spark.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">3. Data visualization using Power BI and Storytelling using Tableau\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">4. Data wrangling and data modeling<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">5. Machine learning and cloud computing<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\"><strong>Salary Insights<\/strong><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">As per research by glassdoor, a Data Analyst earns nearly $70,000 per annum In the United States.\u00a0<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">As per research by glassdoor, a Data Scientist in the US earns $100,000 per annum.<\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">Start your career with <a href=\"https:\/\/www.certzip.com\/\"><strong>CertZip<\/strong><\/a>.\u00a0<\/span><\/span><\/span><span style=\"font-size: 13pt;\"><span style=\"font-family: Arial;\"><span style=\"color: #0e101a;\">Take the first step on your career path in data science by achieving a <\/span><a href=\"https:\/\/www.certzip.com\/course\/data-analytics-with-r-certification-training\"><span style=\"color: #2980b9;\">Data Analyst Professional Certificate<\/span><\/a><span style=\"color: #0e101a;\">. To know more about the route from data analyst to data scientist, including recommendations for skills, courses, and guided projects, check out our Data Science Career Learning Path.<\/span><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Analyst vs Data Scientist:Data analysts and data scientists define two of the most in-demand, high-paying jobs in 2022. Data Science and Data Analytics work with data but are different from each other. If you&#8217;re interested in a career operating with big data and numbers, there are two paths you may want to choose \u2014becoming &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.certzip.com\/blog\/data-analyst-vs-data-scientist\/\"> <span class=\"screen-reader-text\">\u00a0Data Analyst vs Data Scientist<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":5637,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-5324","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agile"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Analyst vs Data 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