{"id":162914,"date":"2022-05-24T15:44:57","date_gmt":"2022-05-24T14:44:57","guid":{"rendered":"https:\/\/datascientest.com\/?p=153332"},"modified":"2023-10-09T18:06:56","modified_gmt":"2023-10-09T18:06:56","slug":"les-metiers-de-la-data","status":"publish","type":"post","link":"https:\/\/datascientest.com\/les-metiers-de-la-data","title":{"rendered":"Les m\u00e9tiers de la Data : mieux comprendre leurs diff\u00e9rences"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"162914\" class=\"elementor elementor-162914\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-731c85b e-flex e-con-boxed e-con\" data-id=\"731c85b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa15fd elementor-widget elementor-widget-text-editor\" data-id=\"8aa15fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>Les m\u00e9tiers relatifs aux donn\u00e9es sont souvent sources d\u2019incompr\u00e9hension et sont \u00e9galement parfois soumis \u00e0 une hi\u00e9rarchie, \u00e0 tort, puisqu\u2019il s\u2019agit de m\u00e9tiers bien diff\u00e9rents. Les non-initi\u00e9s, \u00e9galement appel\u00e9s Moldus dans le milieu, peuvent y voir certaines zones d\u2019ombre.<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acaf98c elementor-widget elementor-widget-text-editor\" data-id=\"acaf98c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>En effet, l\u2019erreur souvent commise est de parler de \u201cData Scientist\u201d sans distinction pour englober les <a href=\"https:\/\/datascientest.com\/les-metiers-de-la-data\">m\u00e9tiers de la data<\/a>, alors qu\u2019il s\u2019agit bel et bien de r\u00f4les diff\u00e9rents.<\/p><p>Le but de cet article est de lever le voile sur les principaux m\u00e9tiers de la data, et de mieux comprendre <strong>leurs diff\u00e9rences et sp\u00e9cificit\u00e9s<\/strong>. De plus, vous trouverez \u00e0 la fin de cet article un diagramme illustrant les diff\u00e9rents m\u00e9tiers..<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80578de elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"80578de\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/ugALxRuTh00&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b42e176 e-flex e-con-boxed e-con\" data-id=\"b42e176\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0317a7b elementor-widget elementor-widget-heading\" data-id=\"0317a7b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Data Analyst<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96a020e elementor-widget elementor-widget-text-editor\" data-id=\"96a020e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Comme son nom l\u2019indique, le Data Analyst (ou analyste des donn\u00e9es) est la personne qui aura pour responsabilit\u00e9 d\u2019<strong>analyser les donn\u00e9es<\/strong> afin d\u2019en tirer des <strong>indicateurs<\/strong> qui serviront aux responsables de la soci\u00e9t\u00e9, dans le but d\u2019<strong>aider \u00e0 la prise de d\u00e9cision strat\u00e9gique<\/strong>. Vous l\u2019aurez compris, il s\u2019agit d\u2019un r\u00f4le cl\u00e9 au sein d\u2019une entreprise. Ces indicateurs seront mat\u00e9rialis\u00e9s sous forme de <strong>graphiques ou tableaux<\/strong> compr\u00e9hensibles par les d\u00e9cisionnaires.<\/p><p>Le Data Analyst utilisera des <strong>logiciels de business intelligence<\/strong> tels que <a href=\"https:\/\/datascientest.com\/qlik-sense\">Qlik<\/a> ou <a href=\"https:\/\/datascientest.com\/power-bi\">Power BI<\/a>. Il devra aussi \u00eatre \u00e0 l\u2019aise avec SQL, et devra \u00e9galement ma\u00eetriser les langages <a href=\"https:\/\/datascientest.com\/python-tout-savoir\">Python<\/a> et <strong>R<\/strong>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0778c5f elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"0778c5f\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/T7iWG2qqw4E&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cb9f7cb e-flex e-con-boxed e-con\" data-id=\"cb9f7cb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d81099 elementor-widget elementor-widget-heading\" data-id=\"2d81099\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Engineer<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71c7730 elementor-widget elementor-widget-text-editor\" data-id=\"71c7730\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">Ce m\u00e9tier, encore relativement m\u00e9connu, \u00e9tait souvent confondu avec le Data Scientist, de ce fait, on recense aujourd\u2019hui <\/span><span style=\"font-weight: 400;\"><strong>de plus en plus d\u2019offres d\u2019emploi<\/strong><\/span><span style=\"font-weight: 400; color: #000000;\"><strong><span style=\"color: #6e4bec;\">,<\/span><\/strong> mais avec peu de profils comp\u00e9tents \u00e0 ce poste. L\u2019ing\u00e9nieur en donn\u00e9es (terme qui, par ailleurs, peut faire peur aux moldus), est la personne qui <\/span><span style=\"font-weight: 400;\"><strong>se charge de la r\u00e9cup\u00e9ration des donn\u00e9es.<\/strong><\/span><span style=\"font-weight: 400; color: #000000;\"> Les sources peuvent \u00eatre diverses : sites web, applications, sondages, etc. Il devra <\/span><span style=\"font-weight: 400;\"><strong>s\u2019assurer de la mise \u00e0 disposition de ces donn\u00e9es, leur s\u00e9curisation et leur haute performance<\/strong><\/span><span style=\"font-weight: 400; color: #000000;\">, afin que leur exploitation puisse se faire. Bien entendu, le Data Engineer doit \u00eatre \u00e0 l\u2019aise avec les \u00e9normes volumes de donn\u00e9es potentiellement engendr\u00e9es. Du fait de sa relative promiscuit\u00e9 avec les autres m\u00e9tiers, il devra \u00e9galement <\/span><span style=\"font-weight: 400;\"><strong>poss\u00e9der des bases en <\/strong><a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">Machine Learning<\/a><strong> ou algorithmique.<\/strong><\/span><\/p><p>Il utilisera des technologies comme <a href=\"https:\/\/datascientest.com\/hadoop\">Hadoop<\/a> et <a href=\"https:\/\/datascientest.com\/apache-spark\">Spark<\/a>. Il devra \u00e9videmment \u00eatre tr\u00e8s \u00e0 l\u2019aise avec les Sgbd <a href=\"https:\/\/datascientest.com\/sql-tout-savoir\">SQL<\/a>, <a href=\"https:\/\/datascientest.com\/nosql\">NoSQL<\/a> et <a href=\"https:\/\/datascientest.com\/neo4j\">Neo4j<\/a>, ainsi qu\u2019avec les langages de programmation Python et <a href=\"https:\/\/datascientest.com\/scala\">Scala<\/a>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d86ac6 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"1d86ac6\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/jTZMN7_GagQ&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f13eca2 e-flex e-con-boxed e-con\" data-id=\"f13eca2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3065ee0 elementor-widget elementor-widget-heading\" data-id=\"3065ee0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Scientist<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-83dc31d elementor-widget elementor-widget-text-editor\" data-id=\"83dc31d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Il y a moins de 10 ans, Linkedin recensait \u00e0 peine une centaine d\u2019offres d\u2019emploi de Data Scientist ; aujourd\u2019hui, il en existe <strong>plusieurs milliers<\/strong>. C\u2019est dire l\u2019\u00e9volution de la popularit\u00e9 de ce m\u00e9tier. Disposant d\u2019un profil plus scientifique (math\u00e9matiques ou science) que le Data Engineer ou le Data Analyst, son r\u00f4le premier est d\u2019<strong>analyser plus en profondeur les donn\u00e9es<\/strong> qui lui sont fournies, pour en <strong>tirer des conclusions et des pr\u00e9dictions sur les comportements \u00e0 venir<\/strong>. Sans surprise, son r\u00f4le est tr\u00e8s important au sein d\u2019une entreprise pour les prises de d\u00e9cisions futures.<\/p><p>Il utilisera les langages R (tr\u00e8s orient\u00e9 scientifique), Python et Matlab, ainsi que des biblioth\u00e8ques telles que <a href=\"https:\/\/datascientest.com\/tout-savoir-sur-scikit-learn\">Scikit-Learn<\/a> ou <a href=\"https:\/\/datascientest.com\/pytorch-tout-savoir\">PyTorch<\/a>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2eec21d elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"2eec21d\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/A4v6hKD-qcU&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-884278a e-flex e-con-boxed e-con\" data-id=\"884278a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ef4bb07 elementor-widget elementor-widget-heading\" data-id=\"ef4bb07\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Machine Learning Engineer<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-517204f elementor-widget elementor-widget-text-editor\" data-id=\"517204f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>L\u2019ing\u00e9nieur en Machine Learning est une \u00e9volution ou une bifurcation, du m\u00e9tier de Data Scientist. Son r\u00f4le sera d\u2019<strong>optimiser et maintenir les algorithmes d\u00e9velopp\u00e9s par les Data Scientists<\/strong> en utilisant les donn\u00e9es pr\u00e9par\u00e9es par les Data Engineer. De ce fait, le <a href=\"https:\/\/datascientest.com\/machine-learning-engineer-tout-savoir\">ML Engineer<\/a> est un <strong>m\u00e9tier exigeant<\/strong> qui n\u00e9cessite de <strong>solides comp\u00e9tences en d\u00e9veloppement, algorithmique et math\u00e9matique<\/strong>. Il devra par la suite \u00eatre \u00e0 m\u00eame de vulgariser ses travaux \u00e0 ses responsables ou autres personnes n\u2019\u00e9tant pas expertes dans ce domaine.<\/p><p>Le ML Engineer doit ma\u00eetriser plusieurs langages de programmation, tels que Python, R, C, Scala, Matlab ou encore Java. Il travaillera essentiellement sur des environnements cloud comme <a href=\"https:\/\/datascientest.com\/tout-savoir-sur-microsoft-azure\">Azure<\/a>, ainsi que sur des plateformes comme Rapidminer.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8df5eb elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"f8df5eb\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/sIbCKaz-oZQ&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14b2e6c e-flex e-con-boxed e-con\" data-id=\"14b2e6c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-544a496 elementor-widget elementor-widget-image\" data-id=\"544a496\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"546\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/05\/image-3-1-1024x699.png\" class=\"attachment-large size-large wp-image-160480\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/05\/image-3-1-1024x699.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/05\/image-3-1-300x205.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/05\/image-3-1-768x524.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/05\/image-3-1.png 1174w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d380e4b e-flex e-con-boxed e-con\" data-id=\"d380e4b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-61215e4 elementor-widget elementor-widget-heading\" data-id=\"61215e4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b731d68 elementor-widget elementor-widget-text-editor\" data-id=\"b731d68\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Vous l\u2019aurez certainement compris, ces m\u00e9tiers sont <strong>de plus en plus recherch\u00e9s par les entreprises<\/strong>, car nous sommes aujourd\u2019hui dans une \u00e9poque o\u00f9 <strong>les donn\u00e9es sont omnipr\u00e9sentes<\/strong> et leurs importances primordiales. Cependant, dans le but d\u2019exercer ces activit\u00e9s, il est primordial de se former correctement.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a137a5e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a137a5e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Les m\u00e9tiers relatifs aux donn\u00e9es sont souvent sources d\u2019incompr\u00e9hension et sont \u00e9galement parfois soumis \u00e0 une hi\u00e9rarchie, \u00e0 tort, puisqu\u2019il s\u2019agit de m\u00e9tiers bien diff\u00e9rents. Les non-initi\u00e9s, \u00e9galement appel\u00e9s Moldus dans le milieu, peuvent y voir certaines zones d\u2019ombre. En effet, l\u2019erreur souvent commise est de parler de \u201cData Scientist\u201d sans distinction pour englober les [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":143341,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[1417],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Les m\u00e9tiers de la Data : mieux comprendre leurs diff\u00e9rences<\/title>\n<meta name=\"description\" content=\"Les m\u00e9tiers relatifs aux donn\u00e9es sont souvent sources d\u2019incompr\u00e9hension et sont \u00e9galement parfois soumis \u00e0 une hi\u00e9rarchie, \u00e0 tort, puisqu\u2019il s\u2019agit de m\u00e9tiers bien diff\u00e9rents.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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