{"id":170353,"date":"2023-09-09T13:44:42","date_gmt":"2023-09-09T12:44:42","guid":{"rendered":"https:\/\/liora.io\/en\/?p=170353"},"modified":"2026-02-06T08:59:17","modified_gmt":"2026-02-06T07:59:17","slug":"professional-data-science-training-the-best-options","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/professional-data-science-training-the-best-options","title":{"rendered":"Professional Data Science Training: The best options"},"content":{"rendered":"<style>\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><strong>According to a study by Burtch Works in collaboration with the International Institute for Analytics, &#8216;45% of companies believe that data analysis remains central and essential to their operations.&#8217; Consequently, businesses have several options to adapt to this transition: either hire new talents or provide internal training for their teams. The second solution, professional training, offers numerous advantages, which we will explore in this article on Data Science Training<\/strong><\/p>\t\t\n\t\t<p>The evolution of trends and habits has significantly increased data production. Big Data is increasingly used by companies in various processes.<\/p><p>No industry is exempt: banking, insurance, finance, agriculture, environment, retail, and many others.<\/p><p><a href=\"https:\/\/liora.io\/en\/machine-learning-engineer-all-about-the-job\">Machine Learning<\/a> and <a href=\"https:\/\/liora.io\/en\/all-about-deep-learning\">Deep Learning algorithms<\/a> are everywhere,<a href=\"https:\/\/liora.io\/en\/learn-ai-everything-you-need-to-know\"> running artificial intelligences day and night.<\/a> All of this is aimed at optimizing sales, uncovering trends, or gaining more information about customers.<\/p><p>As a result, <a href=\"https:\/\/liora.io\/en\/how-to-become-a-data-scientist-the-the-best-kept-secrets\">companies will soon be unable to do without data scientists<\/a> on their teams to manage the massive amount of data generated.<\/p><p>To best train teams while allowing them to continue their professional activities, companies opt for continuous training, as offered by Liora.<\/p><p>This format, which involves about 10 hours per week, allows for direct alignment with employees&#8217; tasks.<\/p><p>Another format offered by Liora is the Bootcamp, where the training is more intensive, with a format of 35 hours per week. However, the duration is shorter, allowing teams to reskill more rapidly to become proficient in data analysis quickly.<\/p><p>A significant advantage of professional<strong> data science training<\/strong> is the ability to establish a direct link with the company. To better align with business demands, Liora has implemented a core project with a workload ranging from 80 to 120 hours, depending on the program.<\/p><p>This project is co-designed with companies to best reflect the everyday use cases of each field. Thanks to this project, our learners are able to apply the <strong>skills acquired during the training.<\/strong><\/p><p>For companies, data science executive education represents an opportunity to retain employees and boost motivation in teams. It allows employees to keep up with the latest trends in artificial intelligence.<\/p><p>This not only reduces turnover in the company but also makes it easier to attract new talent, as training is a major factor in the company&#8217;s employer brand.<\/p><p>Reskilling teams allows employees to pursue different career opportunities within the company without leaving it. This helps promote employee loyalty.<\/p><p><a href=\"https:\/\/liora.io\/en\/data-science-distance-learning-unlock-your-potential\">Professional Data Science training<\/a> within the company allows for tailored training by Liora.<\/p><p>The offering has been designed for remote learning, allowing us to deploy our courses quickly, adapting to everyone&#8217;s availability. This is achieved while <strong>maintaining coaching to achieve a success rate of 100%,<\/strong> well above the mere 10% achieved by traditional MOOCs.<\/p><p>Thus, it is evident that on-the-job data science training offers great flexibility to employees and<strong> enables companies to develop teams in data science<\/strong> since 2015 to support your company in its data transition.<\/p>\t\t\n\t\t\t\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/\">Start your Data Science Training<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>According to a study by Burtch Works in collaboration with the International Institute for Analytics, &#8216;45% of companies believe that data analysis remains central and essential to their operations.&#8217; Consequently, businesses have several options to adapt to this transition: either hire new talents or provide internal training for their teams. The second solution, professional training, [&hellip;]<\/p>\n","protected":false},"author":80,"featured_media":170355,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-170353","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/170353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/80"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=170353"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/170353\/revisions"}],"predecessor-version":[{"id":206369,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/170353\/revisions\/206369"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/170355"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=170353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=170353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}