{"id":871,"date":"2024-11-06T08:57:26","date_gmt":"2024-11-06T07:57:26","guid":{"rendered":"https:\/\/polygon.tn\/?post_type=product&#038;p=871"},"modified":"2025-03-17T08:44:22","modified_gmt":"2025-03-17T07:44:22","slug":"marketing-analytics","status":"publish","type":"product","link":"https:\/\/polygon.tn\/en\/boutique\/formation-continue\/marketing-analytics\/","title":{"rendered":"Marketing analytics"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">La formation en Marketing analytics offre aux professionnels du marketing les outils n\u00e9cessaires pour mesurer et analyser les performances marketing, maximiser l&#8217;efficacit\u00e9 et optimiser le retour sur investissement (ROI). Elle permet de comprendre l\u2019analyse de r\u00e9gression, la segmentation de la client\u00e8le et l\u2019optimisation des campagnes. Vous apprendrez \u00e9galement \u00e0 concevoir des exp\u00e9riences pour \u00e9valuer et ajuster vos strat\u00e9gies marketing en fonction des r\u00e9sultats. Ce cours vous offrira une solide compr\u00e9hension de l&#8217;utilisation de l&#8217;analyse marketing pour pr\u00e9dire les r\u00e9sultats, allouer efficacement les ressources et prendre des d\u00e9cisions \u00e9clair\u00e9es bas\u00e9es sur des donn\u00e9es.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Les modules de la formation Marketing analytics incluent :<\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Segmentation de la client\u00e8le<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimisation des campagnes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mesures de performance marketing<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Learn Python &#8211; the most popular programming language and for Data Science and Software Development.<br \/>\nApply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects &amp; Classes.<br \/>\nDemonstrate proficiency in using Python libraries such as Pandas &amp; Numpy, and developing code using Jupyter Notebooks. Access and web scrape data using APIs and Python libraries like Beautiful Soup.<\/p>\n","protected":false},"featured_media":17155,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[60,61],"product_tag":[],"class_list":{"0":"post-871","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-formation-continue","7":"product_cat-nano-diplomes","9":"first","10":"instock","11":"shipping-taxable","12":"product-type-simple"},"acf":[],"_links":{"self":[{"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/product\/871","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/comments?post=871"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/media\/17155"}],"wp:attachment":[{"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/media?parent=871"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/product_brand?post=871"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/product_cat?post=871"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/polygon.tn\/en\/wp-json\/wp\/v2\/product_tag?post=871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}