{"id":9400,"date":"2020-09-16T15:00:28","date_gmt":"2020-09-16T15:00:28","guid":{"rendered":"https:\/\/datascientest.com\/?p=9400"},"modified":"2024-07-01T11:19:56","modified_gmt":"2024-07-01T11:19:56","slug":"data-scientist-competences-rares","status":"publish","type":"post","link":"https:\/\/datascientest.com\/data-scientist-competences-rares","title":{"rendered":"Data Scientist : 3 comp\u00e9tences rares pour vous distinguer de la concurrence"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9400\" class=\"elementor elementor-9400\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ad109c9 e-flex e-con-boxed e-con\" data-id=\"ad109c9\" 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-5d078f8 elementor-widget elementor-widget-heading\" data-id=\"5d078f8\" 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><p class=\"elementor-heading-title elementor-size-default\">Face \u00e0 une forte demande des entreprises de tous les secteurs, les Data Scientists sont de plus en plus nombreux. Pour vous permettre de tirer votre \u00e9pingle du jeu, d\u00e9couvrez trois comp\u00e9tences aussi rares que pr\u00e9cieuses...<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86767bf elementor-widget elementor-widget-text-editor\" data-id=\"86767bf\" 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<p>Les Data Scientists sont de plus en plus convoit\u00e9s par les entreprises. Dans tous les secteurs,<strong> leur expertise est recherch\u00e9e pour exploiter les donn\u00e9es<\/strong>, toujours plus abondantes, et pour leur donner du sens.<\/p><p>Nous sommes entr\u00e9s dans l&rsquo;\u00e8re de la Data, et les organisations de toutes industries ont d\u00e9sormais conscience de la valeur des donn\u00e9es comme avantage comp\u00e9titif. C&rsquo;est la raison pour laquelle la p\u00e9nurie de Data Scientists subsiste \u00e0 l&rsquo;\u00e9chelle mondiale, <strong>avec une demande d\u00e9passant largement l&rsquo;offre<\/strong>. De toute \u00e9vidence, face \u00e0 ce ph\u00e9nom\u00e8ne, les opportunit\u00e9s de carri\u00e8re sont vastes pour les Data Scientists en herbe.<\/p><p>Cependant, la concurrence est de plus en plus rude entre les scientifiques des donn\u00e9es. Si vous souhaitez r\u00e9ellement vous hisser parmi les meilleurs, <strong>certaines comp\u00e9tences<\/strong> peuvent vous permettre de tirer votre \u00e9pingle du jeu.<\/p><p>Comme vous le savez d\u00e9j\u00e0 sans doute, <strong>un Data Scientist doit disposer d&rsquo;une expertise<\/strong> dans plusieurs domaines principaux : les statistiques, les math\u00e9matiques, l&rsquo;informatique, la <a href=\"https:\/\/datascientest.com\/formation-datavisualisation\">Data Visualization<\/a>, la communication et le <a href=\"https:\/\/datascientest.com\/bootcamp-machine-learning-engineer-pourquoi-est-ce-interessant\">Machine Learning<\/a>.<\/p><p>Au quotidien, ce scientifique des donn\u00e9es effectue le forage de donn\u00e9es en utilisant des APIs, il cr\u00e9e des pipelines ETL, et nettoiera les donn\u00e9es. Il utilise<strong> des langages de programmation sp\u00e9cifiques<\/strong> comme R,\u00a0<a href=\"https:\/\/www.python.org\" target=\"_blank\" rel=\"noopener\">Python<\/a>\u00a0ou Alice.<\/p><p>La plupart des Data Scientists ont la capacit\u00e9 <strong>d&rsquo;aider leurs entreprises \u00e0 interpr\u00e9ter et \u00e0 g\u00e9rer les donn\u00e9es<\/strong> pour r\u00e9soudre des probl\u00e8mes complexes. Ils con\u00e7oivent \u00e9galement des mod\u00e8les et des algorithmes pour explorer les vastes volumes de donn\u00e9es \u00e0 la recherche de patterns et de tendances.<\/p><p>Divers <strong>\u00ab\u00a0soft skills\u00a0\u00bb sont \u00e9galement tr\u00e8s importants<\/strong>, tels que la communication ou l&rsquo;esprit critique. Toutefois, il existe plusieurs comp\u00e9tences moins r\u00e9pandues qui peuvent faire toute la diff\u00e9rence.<\/p>\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-7f3f9b9 e-flex e-con-boxed e-con\" data-id=\"7f3f9b9\" 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-c3a32f4 elementor-widget elementor-widget-heading\" data-id=\"c3a32f4\" 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 Wrangling, Web Analytics, Dataviz... les bottes secr\u00e8tes du Data Scientist<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97e63d3 elementor-widget elementor-widget-text-editor\" data-id=\"97e63d3\" 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>Par exemple, <strong>le Data Wrangling<\/strong> est une variante de la pr\u00e9paration de donn\u00e9es. Cette comp\u00e9tence est tr\u00e8s utile pour transformer, standardiser, et nettoyer les ensembles de donn\u00e9es qui peuvent \u00eatre d\u00e9sorganis\u00e9s, voire chaotique. Elle consiste \u00e0 transformer les donn\u00e9es d&rsquo;un format \u00e0 l&rsquo;autre, et requiert une grande patience.<\/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-4585978 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"4585978\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/Tgo8B2FiNn4&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<div class=\"elementor-element elementor-element-7e2c1aa elementor-widget elementor-widget-text-editor\" data-id=\"7e2c1aa\" 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>Un autre exemple est celui du <strong>Web Analytics<\/strong>. Alors que de plus en plus de consommateurs utilisent les r\u00e9seaux sociaux comme Facebook et Instagram, ces plateformes regorgent de donn\u00e9es inexploit\u00e9es. Les algorithmes de Web Analytics permettent de collecter ces donn\u00e9es et de les exploiter pour mieux comprendre les internautes.<\/p><p>Il devient alors possible de leur proposer des produits, des services et une exp\u00e9rience personnalis\u00e9e. Parmi les outils d&rsquo;analyse web les plus couramment utilis\u00e9s, on compte\u00a0<strong>Kissmetrics<\/strong>,<strong> Mixpanel<\/strong>, et bien s\u00fbr\u00a0<a href=\"https:\/\/analytics.google.com\/analytics\/web\/provision\/#\/provision\" target=\"_blank\" rel=\"noopener\">Google Analytics<\/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-debbc9e elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"debbc9e\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/kc1zfEL3qq4&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<div class=\"elementor-element elementor-element-1ecfe1e elementor-widget elementor-widget-text-editor\" data-id=\"1ecfe1e\" 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>Enfin, m\u00eame si <strong>la visualisation de donn\u00e9es<\/strong> est inextricable du m\u00e9tier de Data Scientists, elle n&rsquo;est pas toujours aussi bien ma\u00eetris\u00e9e. Pourtant, ma\u00eetriser cette technologie est essentiel pour pr\u00e9senter les r\u00e9sultats d&rsquo;un algorithme de Machine Learning.<\/p><p>Les meilleurs Data Scientists doivent \u00eatre en mesure <strong>de raconter une histoire \u00e0 partir des donn\u00e9es<\/strong>, de les pr\u00e9senter sous une forme compr\u00e9hensible m\u00eame pour une audience sans aucun bagage technique. Le scientifique des donn\u00e9es devra donc faire preuve de cr\u00e9ativit\u00e9 pour exceller. Parmi les meilleurs outils de Dataviz, on compte Matplotlib, d3.js, Tableau ou ggplot.<\/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-4349d7c elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"4349d7c\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/VyhLRJVoIrI&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<div class=\"elementor-element elementor-element-98c856c elementor-widget elementor-widget-text-editor\" data-id=\"98c856c\" 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 conclusion, il est important d&rsquo;acqu\u00e9rir autant de comp\u00e9tences que possible pour vous distinguer de la concurrence. Pour plus de conseils, d\u00e9couvrez <a href=\"https:\/\/datascientest.com\/devenir-data-scientist\" target=\"_blank\" rel=\"noopener\">les pr\u00e9-requis pour devenir Data Scientist<\/a> et <a href=\"https:\/\/datascientest.com\/data-scientist-cv-erreurs\" target=\"_blank\" rel=\"noopener\">les choses \u00e0 ne surtout pas mettre sur votre CV<\/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-4d6b71c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"4d6b71c\" 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\">En savoir plus sur les formations DataScientest<\/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>Face \u00e0 une forte demande des entreprises de tous les secteurs, les Data Scientists sont de plus en plus nombreux. Pour vous permettre de tirer votre \u00e9pingle du jeu, d\u00e9couvrez trois comp\u00e9tences aussi rares que pr\u00e9cieuses&#8230; Les Data Scientists sont de plus en plus convoit\u00e9s par les entreprises. Dans tous les secteurs, leur expertise est [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":11513,"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>Comp\u00e9tences Data Scientist : Comment faire pour vous d\u00e9marquer !<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez trois comp\u00e9tences plut\u00f4t rares chez les Data Scientists pour vous permettre de vous distinguer de la concurrence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/data-scientist-competences-rares\" \/>\n<meta property=\"og:locale\" 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