{"id":182705,"date":"2022-11-29T07:00:00","date_gmt":"2022-11-29T07:00:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=182705"},"modified":"2022-11-28T09:30:41","modified_gmt":"2022-11-28T09:30:41","slug":"des-universites-europeennes-et-americaines-sassocient-pour-former-lacademic-data-science-alliance-et-creer-un-cursus-specialise-en-data-science","status":"publish","type":"post","link":"https:\/\/datascientest.com\/des-universites-europeennes-et-americaines-sassocient-pour-former-lacademic-data-science-alliance-et-creer-un-cursus-specialise-en-data-science","title":{"rendered":"Des universit\u00e9s europ\u00e9ennes et am\u00e9ricaines s\u2019associent pour former l\u2019Academic Data Science Alliance et cr\u00e9er un cursus sp\u00e9cialis\u00e9 en Data Science"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"182705\" class=\"elementor elementor-182705\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b30f06d e-flex e-con-boxed e-con\" data-id=\"b30f06d\" 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-a638456 elementor-widget elementor-widget-heading\" data-id=\"a638456\" 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><h2 class=\"elementor-heading-title elementor-size-default\">La Data Science devient une discipline indispensable dans plusieurs secteurs d\u2019activit\u00e9. On l\u2019utilise notamment dans la m\u00e9decine, l\u2019\u00e9conomie ou encore les sciences sociales. La Data Science est cr\u00e9atrice d'emploi, mais pour se former efficacement \u00e0 cette derni\u00e8re, il faut choisir la formation adapt\u00e9e. Il existe pour cela diff\u00e9rents cursus, des formations universitaires plut\u00f4t ax\u00e9es sur la recherche, et des formations ax\u00e9s sur l\u2019employabilit\u00e9, comme celles propos\u00e9es par Datascientest. Afin de former les futurs intervenants de la data, des universit\u00e9s d\u2019Europe et d\u2019Am\u00e9rique du Nord ont form\u00e9 l\u2019Academic Data Science Alliance. Leur objectif est de fonder une base de donn\u00e9es regroupant toutes les connaissances n\u00e9cessaires \u00e0 la cr\u00e9ation d\u2019un parcours p\u00e9dagogique orient\u00e9 sur la Data Science.\n<\/h2>\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-887e541 e-flex e-con-boxed e-con\" data-id=\"887e541\" 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-e1cb2a9 elementor-widget elementor-widget-heading\" data-id=\"e1cb2a9\" 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\">En quoi consiste cette association ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf7a601 elementor-widget elementor-widget-text-editor\" data-id=\"cf7a601\" 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><a href=\"https:\/\/academicdatascience.org\/\"><span style=\"font-weight: 400;\">L\u2019ADSA (Academic Data Science Alliance)<\/span><\/a><span style=\"font-weight: 400;\"> est <\/span><b>une id\u00e9e propos\u00e9e en 2014<\/b><span style=\"font-weight: 400;\"> par les fondations <\/span><a href=\"https:\/\/sloan.org\/\"><span style=\"font-weight: 400;\">Alfred P Sloan<\/span><\/a><span style=\"font-weight: 400;\"> et <\/span><a href=\"https:\/\/www.moore.org\/\"><span style=\"font-weight: 400;\">Gordon and Betty Moore<\/span><\/a><span style=\"font-weight: 400;\">. L&rsquo;objectif, <\/span><b>mettre au point un programme pour favoriser <\/b><a href=\"https:\/\/datascientest.com\/data-science-definition\"><span style=\"font-weight: 400;\">la data science<\/span><\/a><b> dans les cursus <\/b><span style=\"font-weight: 400;\">o\u00f9 elle pouvait \u00eatre appliqu\u00e9e, ainsi que de <\/span><b>cr\u00e9er un cursus d\u2019apprentissage entier autour de la data science<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Soutenu par les deux institutions, <\/span><b>Micaela Parker<\/b><span style=\"font-weight: 400;\">, directrice g\u00e9n\u00e9rale de l\u2019universit\u00e9 de Washington, officialise l\u2019ADSA en 2019. Ce projet fournit <\/span><a href=\"https:\/\/datascientest.com\/base-de-donnees-definition\"><span style=\"font-weight: 400;\">une base de donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> \u00e0 ses associ\u00e9s comprenant <\/span><b>des informations sur la mise en place de cours et de programme <\/b><span style=\"font-weight: 400;\">pour les cursus p\u00e9dagogiques allant de niveaux baccalaur\u00e9at \u00e0 doctorat.<\/span><\/p><p><span style=\"font-weight: 400;\">Pour aider les universit\u00e9s \u00e0 embaucher, la base de donn\u00e9es donne \u00e9galement acc\u00e8s \u00e0<\/span><b> des donn\u00e9es sur les diff\u00e9rents moyens d\u2019attirer et de recruter<\/b><span style=\"font-weight: 400;\"> un corps enseignant sp\u00e9cialis\u00e9 dans la data science.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">L\u2019alliance s\u2019adresse aussi aux \u00e9tudiants, en <\/span><b>publiant chaque mois une newsletter<\/b><span style=\"font-weight: 400;\"> via l\u2019application Slack ou sur son site. Le document parle des diff\u00e9rents parcours d\u2019\u00e9tudes possibles ou des offres d\u2019emplois dans la data science.<\/span><\/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-7bba440 elementor-widget elementor-widget-image\" data-id=\"7bba440\" 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\" src=\"https:\/\/images.pexels.com\/photos\/7234414\/pexels-photo-7234414.jpeg?auto=compress&amp;cs=tinysrgb&amp;w=1920&amp;h=1282&amp;dpr=1\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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-4514847 e-flex e-con-boxed e-con\" data-id=\"4514847\" 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-bf153df elementor-widget elementor-widget-heading\" data-id=\"bf153df\" 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\">Quels sont les r\u00e9sultats ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22cac5c elementor-widget elementor-widget-text-editor\" data-id=\"22cac5c\" 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><b>Le projet aurait d\u00fb voir le jour en 2020<\/b><span style=\"font-weight: 400;\">, mais a \u00e9t\u00e9 retard\u00e9 \u00e0 cause du Covid. Cr\u00e9er et mettre en place de nouveaux cursus en p\u00e9riode de crise sanitaire s\u2019est r\u00e9v\u00e9l\u00e9 extr\u00eamement difficile. Il a fallu <\/span><b>attendre un retour \u00e0 la normale<\/b><span style=\"font-weight: 400;\"> pour beaucoup d\u2019universit\u00e9s avant de changer leurs programmes de formation. Aujourd\u2019hui, l\u2019ADSA comporte <\/span><b>45 membres<\/b><span style=\"font-weight: 400;\"> dont <\/span><b>\u00a0l\u2019universit\u00e9 am\u00e9ricaine de Paris<\/b><span style=\"font-weight: 400;\">, une universit\u00e9 fran\u00e7aise.<\/span><\/p><p><span style=\"font-weight: 400;\">La data science se d\u00e9mocratise dans les parcours p\u00e9dagogiques. Si vous envisagez une carri\u00e8re dans les m\u00e9tiers de la Data Science, d\u00e9couvrez notre offre de formation <\/span><a href=\"https:\/\/datascientest.com\/formations-data\"><span style=\"font-weight: 400;\">en visitant cette page<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><i><span style=\"font-weight: 400;\">Source : datanami.com<\/span><\/i><\/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-cc937b8 e-flex e-con-boxed e-con\" data-id=\"cc937b8\" 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-d91816d elementor-widget elementor-widget-shortcode\" data-id=\"d91816d\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"archive\" data-elementor-id=\"182524\" class=\"elementor elementor-182524\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d28ad70 elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"d28ad70\" data-element_type=\"container\" id=\"pub\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-df75a27 e-flex e-con-boxed e-con\" data-id=\"df75a27\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1f9f7a63 e-con-full e-flex e-con\" data-id=\"1f9f7a63\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30f75ac7 elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"30f75ac7\" data-element_type=\"widget\" id=\"carriere_data\" 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\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS\u00a0!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fc48519 elementor-widget__width-inherit elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"6fc48519\" 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>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ? D\u00e9couvrez nos <span style=\"color: #4826dd;\"><strong>formations\u00a0en\u00a0Data Science<\/strong><\/span>.<\/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-9d8c47d elementor-align-left button-principal elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"9d8c47d\" 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\" href=\"\/formations-data\" target=\"_blank\" id=\"advanced-ads-button\">\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\">Je d\u00e9couvre 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<div class=\"elementor-element elementor-element-f3b0fa7 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"f3b0fa7\" data-element_type=\"widget\" id=\"carriere_gratuit\" 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\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e00260f elementor-widget__width-inherit elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"e00260f\" 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>Assistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI\u2026<\/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-698c29e elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"698c29e\" 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\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\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\">Je d\u00e9couvre les 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wKkxdYt1Z+nVgfim0+fS94W7WM5ymFW05Oc4ZhdE9Z6yZboBglJdcH2YweKpGcxKMyuPDwtxitmbem9+YRWlK34dfznOO07RynDMK0f710BNa6hYRn6+bWwrdQFGMTMxJMCpIXVq9q\/TrwPzMF31hnrOcppHzMHeEXy1189tzi2pRbn7\/oQNeSVIsYfiml2Z2glFZzBaxkF3miz63d9TOtXjnrbxbc\/bdf9o5PHNqK2zTnlizD4lSNZqDYFQWHxIWsmjFqKkb5hTmcKKdr412urjROrGW94\/mA0+fbG2l+VBpo8tP7p9TBs\/D8Dn4VBeiPrtod+nXgcVcd8NiN7tXNbQ04UQia633jk638s99YyXvqlEExghHTE8bXX4+0kZH2q5xptHsBKNyqBaxsEWXHgytirD3Tu10FxPzRvc+Yt5oWm2FbNqT67ljFMXCrRkJRuXw1ICFNNEGN7TZk6iMtLFeeQjtdGG073Rr4XFI4n3U5NZGumFVNxlwptGMBKMC1JtJnF3EQq5fsI2uSuD8oTaM7tFOdykPPn5SOLoMSxfylPMGSYriwfgMfKrLoJTKwpqo9uxsavnCJ+m0sMTAfBtLGIbQTjcRLXU21V1cW+Ga9rz7tmoR2RCMZiAYlUEwYmHXN3Dz31SASK23f\/TXzd\/YRjvdm68O4+YrDn\/9wU9PCkcbiFbMtg4Lpj1DenDB4N1VL+BiCoLRwNUbSa4p\/TqwuEU30lUNBqPURKtYG4slXn7hitwvzeeEo43tvVO1KDfx0OKNgTy0oBiqRlMSjIbPh4FG7FjwDKOJJm6MTxxL60dX3PS30Q41pKpRJRx9xfjsoltdi9y89MvhPLCgGDqHpiQYDZ9gRCPiprYJTSxxSGnGaGJ0T3tVoxQOtG1KvI9+9KvPLGSozy5q6nNFNyIUaaMjQ7u1001HMBowbXQ0pckWuCaqBSmeH9Jm1Wjl5eHdiNlWV1X79jvnKSdRvV15eWvpl4F8eVA+BcFo2HwIaEQTVZ6JnQ205KVYMarqqlEbc1RxMzakqtFEhKOHHj+ZxhfTMUsX8vLrg9uqZw9uK\/0ykDftdFMQjIZNMCI5Tc2XHH0\/vR9fUTW6p4UqQATBl34xzLmG2+48U\/3gp5+10oaYMksX8hGhyLIFBkA73RQEo4EaLY5u8CMAACAASURBVK\/doY2Opuza3VzLUzwlb+Im+KMP06ygxI1+VAOaFjdmJ9aG+SN7101nx3NHpSxliM\/AbWassiAUMTAemF+GYDRc3vwkq4l2uuOJbaZbLw40bcNQq0ZVHRYiHJVw2OnekWpRDoQiBugOL+qlCUbDJRjRmCuvbvZaNlGBSm1l93o7ls62Mli\/emRztXJ42MPf9z58qjrw9MnBttbF9xWzaKRNKGKg4rDXa724FycYDdBoee2b8VC+9OtAc3Y23OLURMUoQkLK9t1\/upXWsMMvDHMRw3o333JmXD1qoyWxb1Z0p08oYuA8OL8EwWiYbB4habsauuFNfebmoSdONV75iEUMvz44\/AMmo7Xu+z\/5bNyWOKTqkRXdaROKKIBgdAmC0TDpISVp8cS8iVXFqVeNzrfUNT9PEgdMpriVrw2jfacHUz2Kc5us6E5XtKkKRRTAPeIlCEYDU69i3F36daBZTc8YVfU5Los6mngwquob+z23Nj9T8uzfbht8S93EpHoUs0c5BwvVonTFg4Z5lpvE+1HYJTPXjJbXVI0uQjAaHm92GheVj6YtN7CAIfWK0cSDj59qfN7oo99tGs8blSRmj3724p\/GASO39roIx26g0xQPGA49OdvhrfH+i\/O34v0Yf37095+NK4KQCVWjixCMhsebnSw0MWcU8zY5nO0TrYNtzButvLy1mJa69WKxxc9e\/CyrgOSmOV0xsxc\/S6YVDzni\/Rfnb03Ew6MHHz85DkleazLgIfpFCEbDc1fpF4A8NNWCkkvVKG6cHnq8+Vaqklrq1ouwOQlIOdyIPnvwiurwP5ZV4cvBu29vGc\/sTSuC+Hid\/EU2C8bPtAhIUU1SISRhO+sNxlxAMBoQPaPkponZmzdW8hmWjlawhx4\/2eg\/M1rqhnzw6+XEDWoOT+qjInH4hSuq7973tepNA\/5JiAcKz8644fEHP51uzi2qSdFe18Z8ITREh9EGBKNh8SYnK00sYIiDXiMc5OK2O880fgMfm7TiyXfJJk\/qIyCN7jmdbItdvFefPbit+vH3thfZBpmSlZe3zNRCF62bs8xbRmh\/9KmTlm6QKg\/TN+Cn8rB4k5OVps4zeiezUBA38E2Ho3jynVNAbEsEpHsfPpX8DFK0gD7z2PbxuTlet+5FtShm9KYVc0XRujmP+N81XSmGBtw+Wl671oX8MsFoIOo13TtLvw7kJZ6oltZONxHhqMk2m\/MHv862WWvI1s8gpRyQotoX7XUxf1TirFhfZq0WxfKURUSlWDgiQTqNLiAYDYdqEVlqomqUWzvdRNNrvKMKYcD\/yyYB6VeH\/zS+MU11IP78\/NF280cdmaVaFNXdJo4sEI5IkGB0AcFoOLy5aU2bK7H33NJM1WSWG51UxE17DHM3GY7iBtvsysbixjRmkOLmtIn5tqZFBSPmj6KC5DVsT8zjzTpb1JR4D5o5IiEeql\/AT97hEIxozaeftPfPjif4TQSDNzJ90t5GOIrDKrVlXVzcnH7\/J5+NVyqnuDUsqp8xfxQLGswfNW+WnxVRLWq6yhgVTNvqSMTOehSDmmA0APUu+mtKvw7kq4mn9\/EEONc2pEk4aqqKEdfimcfMG11OrFSOrWGTVd+pzSFFa2RUj2J2TNBtzixnn43+er6FC5fTdBstLMCD9XUEo2FQCiVre0fNPD1949V852siHEUVo6ltdTF39dIvyz3faBZfrPo+v6ghtTmk8wsatpsfa0C0KE7bRhfBpYnZoo3E533RhQ7QEMFoHcFoGLypadXxY+3+qIibjyZuRuNJcO6zGU2u8o65K8P80\/tik935OaSUnug7ILYZs1SL2m53i5975o1IgHvIdQSjYbi99AtAu9qcMZrYO2qmZeWNlfyfqkc4auqG6cVfXtHq8oyhijmkH\/3q\/BxS02dOLcIBsYs5McNDni4WdEQQ11JHz3bWIxnFqwSj\/I2W1yR9BqGpm89oOxrCwHpTh0JO5o3MqMwn5pDOt9n9KanzkBwQO59ZttF11VJ53yOqRvTOvWRNMMqfNzOtO3qk\/daduAlp6glttBwNwbhq8fefLXwzLhwtLt6f689DSuUpvwNiZzNLK11XwSjCd0pVSYrkXrImGOXPm5nB2HtnQ+10A6kaVfUcQiwFWPRGfLyM4ReWMTQhxTY7B8Q2q+vga9aInrmXrAlG+TNfROtmecq6iNsaXJk8pI1sk3Xei96ER2C02aw5F7bZ9b3NbnJA7A+\/Y\/5oUVdd3e2\/r8mKOczhGucZnecnZ8bMF9Glrtp0Rvc0UzV6560tg7o5jHAUN+HRxrVIeIzKgqpCsyZtdpNtdn3f4EZ1MOaPfv6U+aN59dEq2dTPPphT8feUlWCUPVtE6MyJY10Fo+Zak4Yya7ReVNWierTIjVtUFVQU2hGvT5xHFbNhfR8aGw8HzB\/Np4\/XbZeKEf0qPhhVglH2vInpzEcfdnNjFZWRpuY2ogVwiNWRmDtatLXu0JPbrPFuUbxGk0Nj+17WYP4oD\/Gzz+puelT8PWUlGGXPm5jOtH3I63pNDiLHOT5DfFo+aa078PR8rXWTTXVardoVr9P6ZQ19tdlN5o+iglRytTCVdesX0\/VsE6wT5xldW\/oFEYwyVQ\/JXVP6daA7sxyMuKiY2WiqahQ3hIdfGO7CgZtvOTOuSsxzSn9cm6gcabPqRixrWN9m14cIwjF\/FAfElhiKd96YbjCKz+HxjlqW4SKKf+AuGOWr+Dcv3er6F3aTVaOVl7cO+il5VCUefepkde8jsx9Aen5QXzjq0hdtdn\/qLSBFm2lUj14aaEX1YvreHHgpsU5\/lgNooQXFz64LRvkq\/s1Lt+IXdpdPmOMGpsktTS8WcIbPaN\/puapHwlE\/4j3ed0CKhwYxf7RyuIw17tfdMF0rYxeHWk\/ErF+sWH\/DDBj9K\/6hu2CUr+LfvHSvy3a6alw1Ot3YTMD4gNMBnW10MZPq0ayzR3F9fv7ktq6\/XBIISPHQI6oVJcwfTTvj1UWF\/N23t4xXqv\/w29s7\/9kKF1H82Zibzp1LexCRjY2W17xwdC4qOPc+3O0J7bFquMm12zEAH7MeJYgKUMxXRVVgWnFjHjfp9Ccqs\/Ge76uCEOEh3gMpt50tYv9f\/dlU\/+toTY0qbFPidT16ZHO1emRL9c7bm7XNkaq\/XFldeq\/UV0cwylB9sOu\/lH4d6F6sko3tWl2LJ9lNtfHFzV4Mv0dlpRTRqhMVgZgrmYZwlIao3kRAmvZ1a1q8D8ZzawP7rESVJs54upyouD70+KnxgpNZxOft00\/Ob\/KMv0ZbXlSgBCEy8e9XVpeeK\/XFEowyNFpeO1BV1d+Vfh3ox69e+VPnN0pxgxibtJoSMzjRblaaOMdmvL58ihs04Sgd8f6PGbk+2q0iHERLa5OVk75FC9uhGdpG42HK9Tdc+mdeX+EVWvD8yurSA6Ve2C1PPfVUAl8Gs3jxf\/tv\/2tsfnXR6MM3ls9W\/\/3\/2G0wihuTeAr7\/\/4\/zdx8xD\/nyv\/u\/PdSkh03nqv+7f9yprpi27nxTfapkxcPSPGff\/S7zXOtAadZ8f7\/t\/\/zmfHN+er7l37dmhb\/rv\/rv26pjr6\/Zdxid+UAztmJn19vvLp16mUj8d+LivWl\/sCAbLr\/P\/z5r0p9QT3iyJONdPSmryejDz4++yrqS4nWshIPuoxq3777T49bIi836B8zLr8+aCFDKuKg2Ng62OQq+2lN1nvHzN8Q3NPDNYRM7C75hRKM8rSz9AtAf6bpzW9D3NBHv3+Top2m1Ke9025CE47SMgm28br1Uc2LmadYLR0V3JxFyJx2Qx2Upp5lL5JWuszUb9Ziez\/pX7SV7B2d6aWlJlpgmmypizaheBL+r\/\/N2eqKQu\/943WMG+x4TWP2aKM5Fm116YnX7V\/fcaZa\/ubZ8ZazLs+g+vi\/bar+83\/aWlWbpl9\/naL42iP4d9maCJk4cv9\/+PP\/UuKLpWKUH2109O6dt\/s7iDBa6ppcIxw3\/b8+OPzzjS7nchWkuIH88fe2OwQ2MbF6Pl6zPtrronqU89lH8Z5vugoNA\/H1Ul9IwSg\/ghG9e7endrqqbiU68DfNbkuL9kDtYudNAlJsH4yb7fVzXVFde+axbcJRgibtdV1XcKIVNTZGxuHJOb4vYhX3Q7YvwoWKvde0rjszo+W190ofjCMNfaztXm\/l8NbxAoUmNX2g41DEmu9\/fnnr5212cZ7VD356sqizoHIyy1r2Jo0rME+czPIA5Vjh\/ezB7q8ZpGpldanID4NglJnR8poXjCTEU9bbLrPVrG3THtQ4ixS+r1RFy9QbK1vHp\/bHTfCBp0822tZIc6J6Ey2ifSxLiVm08RbJzIJzzC8++7f9nBcFCfrLldWl90p7YSxfyMhoeS1Km98p\/TqQiE3nh7\/7dNP\/dLZ6\/79uHg+DNyXmp+K8mDjzhy+LEBQ3vXEW0lVXn6sO\/+MV1c5vnKuu+XPXKjWxTCQ+n\/H6vP9\/dHv2USxH+c\/\/aUv1P+w41\/mZZ4uI9\/HkvKjjxzZP3RoY7YvxJz4b1\/9FVV11deVsI4Zg5f7\/8OdHS3slVYwyMlpeuzvmXUu\/DqQjZhr6rhjEU97x3EvDLTAqR9OJm0ctdWnru3p078PNLkzpSrQkxsa\/CDmT89ti5m7njeeqXbvP1H89u+H7P675u29t7qWlERry9MrqUnHVE8EoI6PltXiDPln6dSAdqczkRDj64be3N\/7PFY4Ykr7maCJM7Nt\/usj5vT5DKSzoNyurS3eXdhE10ual2AO3SNPKP6VxCv6OpbOtbJZ69uC28VNjGILYwPazFz\/rfHNdBLFYlBLr3ktrMYtq0qNPnbzkIcqQqCJXdgtGeSl2rzxpipucVE7Aj8qOcASXFjfq3\/\/JZ+Nqb9eiHe2H39leHf7HNB6odCmut0UlZKbIDciCUV52ln4BSE8qVaOqDkdtPJmNcBTrwWEooq3tR3\/\/2Xj1epeiehQHw0ZAKql6FIH0vh7CKCyiXvpVFMEoEyW+OcnDG69uSepgxzictI1wFK1ADoFlSKIFNc6j6qPNK1ZiRzgqqRobrYyqRmSmuE4lwSgf2uhI1srLad3ctBWOIgTGzVyOJ\/zDRqKSEZ+XaEONJQldiupRVGPjgUMpn6nRXztAmqyoGJEsFSOSFYd+pqatcBRPur973\/ZkZqugCdGGGtWjrlvrqvqBQ6zcL+EztecWSxjIimBEsgQjkhWzAim2xLQVjuJJd6wHN3fEkPTdWhfhaOitddFK10f4hDldW9qFE4zyUdybk7y8\/MIVSX69bYWjat3ckdY6hmLSWtfH1rpSWuv2jlSNyMbtpb1UglE+intzkpdUq0ZVHY7autErqQ2Icky21nU9d1St+0wNdWuddjpyMlpeK+rBvN\/kGSjtTUm+Uq0aVfWNXhvnHFUFtQFRlmitiwNh+2j9mmyte\/ft4X2mop3OdjoyUtQoh2CUB\/NFZCHlqlH1+YB5O0\/BJ21AL\/0y3XAIs4rWur7mjuIzdejJbYM8EHZ5tzkjslHUVmTBKA9WdZONlKtGYddN5wfM23piu\/Ly1uIOr2TY+pw7CnEg7NDmjpZ3a6cjG4IRyRGMyEbqVaOqbhGK+Ym2ntoOuQ2Ick3aUc0dLW7HN7TSkQ2tdCRHMCIrL\/7yiuSf7sZT8O\/\/5LPWnoJP2oBsrWNIJucd9RGOJg8chrDoJB7OQCYsXyA5ghFZiVCw8nIe1ZLJ9q22BsxtrWNoxhXXX\/WzlGFyhtgQFp2YMyITKkYkRzAiOzEXkEvby+RGb9\/+dqpH4yfdDoRlQGJGLypHfd3cx6KT3D9PDnolE9eU9EIJRnnYWfoFIE\/RRpaTffefbnX2KA6E\/fH3tmutYxAm7ah9bKyr1h2wnKvrbjBnRB5Gy2vFVI0Eo8SNltdUi8jW6pHN2S0giOrRZPaojTmKuCbfvc9iBoYjNtaN7jndy\/cTraq5hqOdKkbko5g5I8EofYIRWXv2YPqLGDYSs0dxuGUbT8MnixleymBJBUzj3odPtXaA8uVEOIqlDLl9lnbcqGJENlSMSEZR20AYnggBvz6Y56Gnk\/Nb2mqvG5959O3t1dH3\/Sgmf7Gxrq9wFHN8seQkp3AUP18gEypGJKOobSAM0ztvbcm6dWzSXveDn37W+MGwsaDimce2D\/J0f8ojHM3GAgYyUUz3kmAEdCLXlrr1dt10tvrZi38a3\/g1HZBii99QzmihbMLR9K66OosvEwQjkqFixCBES93Pn8x3g9R6cePXRkCarPVWPSJ3wtF0VIwgLYJR+swYMRixkW1IZ\/lMAlK02DU5g6R6xBAIR5fXxuZLaMHtpVxUv3XTJxgxKHH2yNBu+KPFLmaQYklDbLFr4mZH9YghEI6AnGw6d87TipSNlte8QAxOBIdYhT3UrUxxIxYrhN9Y2TK+OVtUtNvc98ipcQCDHL356pbq2Z7OG9pz65nq0af6CWeXExspY\/kKZOBfrawufTD0F0rFCOjckOaNNhKBL85B+tGvzleR4vDLRapI5598b3fuEdmKytG+\/ad6+fJjK2auh8BCQopYwCAYJWy0vOZwVwYr5o3iRn\/oYtV3HH75q8N\/qg48fXKhVrvJuUc5rz6nXPvuP93KgcnTiAqucARcjmCUNsGIQYsb\/ZJu8m++5cz4wNgISbGwISpJs261i3OPDj25rfr5U2YnyE+8\/9s4LHkaEY6ipQ+Yi4oRQNvifKMSt6\/FvFBUkmKr3WT1d8xCTBuUoj3ou\/dtH9SWP8rw6NMne1tTHXNOMdeTiiudY0Q+ighGli8kbLS89kBVVf9Q+nVg+OIm6Qc\/PTnYZQyziqrQ0SObq+PHNo9bDi+3wCGu30NPnBq37UEO4j0eK+lj3rBr0coa839NH9I8r\/1\/9Wfes+Tg6ZXVpaeG\/koJRgkbLa\/FG\/DJ0q8DZYj2mlh5zVdFy9yJY5vGIenokS3jv24khttjjgNy0OdGtniYEOEoBYIRmXh+ZXXpgaG\/WHowgCTEzX4MRz\/Y05knKYtK2q6bzp1f110Hn2g\/jGv26Sfnv\/Dr\/+JcdfOtKkbkI97PEebjQOOuRRU2lr9EOyswlSJa6QSjtDnclaLEcPSOb2wdr7rm0qJtTuscuYsK56WqoG2K5S9RqY6lKH2xQAXSYvlC2r5Z+gWgPC\/94gqbo6AgsYxhkXO+FhHLX\/oMJ9EiC6RDMAKSE5ujnNUDZYhW0Tjjqw9DP2waGlTEw3rBCEhSqWu8oUQxbxTnevUh2visvYfLuqaES+SuI21mjChWPMl95rFtwhEUYt\/+2Q88bsrhF7aOV4gDZXPHkbbdpV8AyiYcQTmipe6hJ\/prqYstdUDZ3G0ASROOoBzRUrf3zn62xL3z1pbOZxv72MYH8xotrw1+ZbdPJJA84QjKce8jp3rbUvfiL\/rdUgeJE4wAUiAcQRmipS7mjfoQc0YrL9uICaVyhwFkYxKOjr7vRxcMWRzy3N8ihissYoBCubtI1Gh57Y7SrwFs5Hw42u4QWBi4e\/af6u0bjHAElEcwArIUh8AKRzBct915preq0RuvbumkanTimNswSIlPJJCtCEe\/PujUehiqPqtGKy+3f+hrVMAhI98c+oslGAFZiye7P39qm01SMEB9V438XIEvuXbol0MwArIX54\/EUgY3MTA8fVWNoprz7ltuk6AkPvHAIESv\/nfv226dNwxMVI36OtfonztopwPS4Q4CGIx4wvvDb9tYB0Mzuqefc43igYvV3VAOwQgYnMlSBq11MAx77zzT2\/fxhgctUAzBKF1fL\/0CwCLiZibmjrTWQf5iAcOeW\/sJRzHDCJTBHUO6BCNYULTBRDjSWgf523NLP8GozXa633+oqg0pEYyAQYu5I611kL+bbz3b2\/fwztvtPFwxvwRpEYyAIkRrXSxm0FoHebryqv7a6Y4e8XMDSuCTDhQjns5GODr8j1bwQo527e6narQqGEERfNKB4hx+4Yrqh99RPYLc9DVnFC25fl7A8PmUA0WKgWrVI8hLbKeLP3048VvzQDB0ghFQtEn16Oj7fhxCDpZ7aqf7fQuLEq68up+QB2zMnQBQvPNrvbdXL\/3yCpvrIHE7vtFPMDp6pPnNdDtvFIwgJYIRQG3l5a3Vd+\/bXr3b0mpeYHE7b+wnGB0\/5qEJDJ1gBLBODFkfenJb9ePvWc4AKdp1Uz\/BKH42qCjDsPmtD7CBWM8byxm010F6dvRUNTrRcNVo1+5+tuwBGxOM0vVe6RcAUjBpr7O9DtJx1dX9fCnOM4Jh8wlP1x9KvwCQimihie11373va9Wbr5o\/gr71VWn56EO3TTBkPuEAU\/rod5uqZw9uGwck672hPE0vYLi+pzOZgI35zQ4wowhIsd47FjQISNC9vgJFrPZv0nU3CEaQEr\/RAeYU8wYCEnSvz0BhWyUMl083wIIEJCjHRx\/aUglD5Tc4QEPWByRLGmCYmpwz6utMJpjT4BeDCUYADYuANFnSICDBsBw94jNNsQZ\/lIxgBNCSyRa77+z72vgcJAfFQv5+r5UOBkswStTK6tJrpV8DGIrJOUjfuftr1a8PbjO8DRmLBx4ecsAwOcodoENvvLpl\/Gd599lq752nq9vu7OegSmB+J45tqnbdZNU2DI3HlgA9mMwhRZvdS7+8YvwUGsjD8QbPM7ryagELUqFiBNCjaLNbeXnr+M+kinTzrWerK69yswQXE5+bPp34bXPBaOeN56rVIx6MkIUPhv4yCUYAiYgq0uqRbdWVvzxX7bnlbLXn1jPVzbdotYMLNbkyex4qvJRoZXVJMKJXr1dVdbuXAMoST8Mns0jX\/cW5cUDaOzpT7Vhy5gmkIB5iAMMjGAEkLJ5MT1rthCQ470SDMz7ziu2SPocwLIIRQCYuDEkxk6TdjhKlcJbQRx9uqnYslXj1KdTHJXzbghFAhiIkTdrtQgSkXbvPjsOSp9gMXQoVo5hzuvmWoV9p+Nx7JVwKwShtr5kxAqbxzltbxn\/CpJq0vPt8WIr\/H4YilQOSmwpnu3afMbMEiRCMAAbmwmrSJCjt+IaKEvlLJUQcb3BlN5AGwQhg4CZBqaqDUhgHpBvPVjtvjMB0TlgiG02eIbSI+FxZwEBBtNLRu8Hviwf6cf7MpC\/fYC7XbXfX3XD2i\/9bGx6JeeftdCo18RkSjCjEH0r4NgWjtAlGQGe+CEpbqsPr\/qVRWbrq6vOzEFUdoMKum9wQ0q2o0MQ5X6l4Y2VLNdp32rsABkIwAuCSJkPmk+B0+IL\/8iQ4XXn1ufH\/Ha4fV57OV5tUnmhKBJEmRLhvYlYpPhvRUrfI+\/vKq709yEIRD+sFo7SpGAHJW7+da7IZ72LiBvL6OjCtD1Jh543nxn9vQkWKC13u\/TWNeI89+vTJ6jt3f62R6xvnit378Km5\/\/d77zxTHX5ha1KVMNiAYES\/VlaXPhgtr3kVgMGIp+vxZ2KWG91JC99EhKr1QSqevO+88cv\/nfh7ZkCGIdro1r935rXnlrPVlVedD+VNrNyOxSb79p8e\/zPnEf+70T2nq8MvXFHqSwvJEIwAyMKFrU\/ztkJFmIrq1IUmQSvC1J5bzmj\/S8zKPzVzy7Jv\/\/nqzlUNtbBFpWfl5S3VvvvnnzUa3XNmXHlSNSJhttKRhCNVVe32UgA0I24+V4989QZ0fdB66RdXjJ\/iL9IiRXM+\/eOmRrbRLbd04HGEmgg3qkYM1crqUhFb6ZxOlr4i3ogAqYmb3V8f3OZ1ScC7bzWzjW7vne1skIuv7dcHFws1EawgUR+X8sIIRukTjAB6EvMjTcy1sJiXG6ikRJvkbXee+dL\/36SYl3v37fmXQ0zmniBBRbTRVYJRFop5MwKk6J0FbnZZ3JsNhdO9d365ItNGCHn24BULfa1NzT0B8xGMAIBkNVEtqsatau0fxBotdYee3DaeiYIBUTEiGa95KQD6c+GacLrTVLWoraULG4kV4M88tm2ur\/v3HwpUJKmYsQ7BCAAuwTlI\/WmqWtTW0oWLiXD0w+9sH5+9NK2oMplnI1FFHO5aCUZZMGME0BPD8P05\/I9bGwkKFy5d6Eq01f3w29vH38c0YvMeJEowIg2l7I0HSNFGB8HSvqiexLr0JnQxW3QpcTbRj793+erRG686WpJkaaUjKUe8HADdu+4GFaM+xJlATZxbVG2wja4PcXhwVI\/iXKyj73\/11itmqdYfMAwpWVldKqZ7yeOJPKgaAfRAxah7ERziTKAmRCjqaunCNOJcrPhT1S1+8bXFPBIkrJjDXSsVo2yYMwLoQdOHgHJp0UL37N9ua+wqjf663za6S4mKmFBEBoq6B1UxyoOKEfAVsRhgciDkrt1ftAsdPbKlOn5sU2OtSCVLqdpQgpd+sdgBqevFim4bBWFhxSxeqASjbKgYQeHiJi\/CT7R2RSC65A37\/eefksewd8wtnPjt+b9aBTw7wag77779RZtZEy63dEGbJExFMCI5KkZQmLgh33PrmXEguvmW+YbH42n5+ifm0aZ09MjmcTUpqkqGvUlFhPZnDzZzZlFVf34u97nRJglTEYxIy8rq0muj5TWvCgxc3KjtueXseC6ijRagK686f7N48y1friqd+O2marVuvzPzQB8OPbmt0dbPe\/af8jpCMwQjkhRbQa7x0sDwRGvcv7vndC+HUJ6vKlVf+nfHVrDjx8634AlLtC1WWDf5HotqUR+fJRgoyxdIUrwxb\/fSwHBEm9y+\/aeqXTelNSAeX8+FX9OksjQOTMc2W+5AI958tdm5okq1CBq1srpU1DiHYJSPDwQjGIYIRA8+fjKrwf7PK0vVF0\/iYy4k\/owXO3y4+fP\/G6YRYfvZg82t5q5Ui6Bpr5d2RQWjfBTV4wlDlGqFaF5xExp\/NqouffpJJTBxUfEeeeaxZkNR2DtK99wiyFBx956CUT6s7IZMRXi475FTc2+Xy81kccSFgSm24p04dr4dL4JTbMb7zTC0FgAAIABJREFU4yeVGabCnD\/E9YrGWzHjcza6R7UIGiQYkSwVI8hQVIjiZi02wpUursGum9ZVmO7\/4un+pC1vEppOjP+6ySzTwEQoikpRG2E4Zot8zqBRxT2UF4wysbK69J6V3ZCP2DT30BOnnLw\/pYu15U1M2vMmwWnSoqfilJefP9lOKDJbBK1QMSJpR6qq2u0lgrRFlWjf\/WYdmnSx9rz1fvy97Y3PMsXq8qHMhPUt1nK3NWtmEx00Lx7Kl3ZZBaO8fCAYQbpUiWBjEYqaXss9oVoErThS4mXVf5AXCxggUaN7Tlc\/+tVnQtHAHNemt7A2Q1F46ImTnX0vUJAiZ9tVjPIiGEFirrz6XPXQ4+VsnCvNRx9a\/LCItkNRrMDX6gitKPKeUzDKi2AECYnWuQNP53VQK7Nx\/tL82g5F4d5HzBZBS4q85\/QTPyMrq0tWdkMi9t55pvrBT4WioRuvDf+jqtEs4nr98DvbWw9F0b6qdRVaIxiRhde9TNCveEr94OMnnZlSiHff8qtyWm2eU7RetLDu22\/zI7Sl1IfxftrnRzsd9CRuxqJ1brTPDVlJ3nhV1\/k04lypLkJRNV6Jf9qDCWhPsQ\/h\/bTPj3Y66EGEomid07qTrniN2hBzRnHTr23y4uIA3ghFn37SftthLFzwcAJaVexDeBWj\/KgYQcdiycLPXrSKO3XxOrXl8AtXlH55L+rNV7d0FooqCxegC4IReVhZXXrNSwXdiZvtqBRp20lfVBLaEosEomrEl60c3lo9e7C7ULRvvwOUoQOCEVkp8jRi6FpsnotDW4WiPMR5Nm2101X1+mnOiyULcT1e+kV3lbRoZRzd47wwaNvK6pJgRFa000HLIhTF5jnysueW9qoJMWv07tvtrqDOwWSeqO113Bd66AmVW+hA0duPBaM8CUbQIqEoX3tH7Q7lP3vwiqJb6qJ1rqvNc+vFmUVREQRaV\/Q9pmCUJ8EIWiIU5S1unttcwhCzNIee3Fbcoa8RBn\/8ve3j1rmu5okm4vV0ZhF0RjAiLxYwQDuEomH4d\/e0exMd1ZKompTi8D9urb5739fGrYR9eOiJU1rooDuCEVkqugcUmiYUDcdtd55p\/cyhCEdRQRly5SjmqSIQ9bmq3BY66NTHJS9eqASjrGmng4YIRcMTg\/ptiwrK+PyegYWjo++fD33RMtjnPFWsX993vxY66FDx95aCUb6000EDhKJhilmjPbe2v9o5KkffvW\/7OEzkbhKInnlse29tcxOxdv3Rp30uoWPF31tuTeBrYD7Fp3pYlFA0bPc+fGp8g9\/2soD450eYiM1psSQgt3mYaJlbeXlr72FovQNPW80NPSg+GKkYZWpldemDqqqOl34dYF5C0fDFnNF9D5\/q7PuMcPHDb2+v3uz4fJ95RPtfrN6OGaJomUspFN37yCmruaEfxT90VzHKW7yBd5Z+EWBWMbsgFJUhFjG88\/aZ6p23ugkrMZPz7ME4\/PTsuIJ08y3tt\/PNIqpDcS26Ppx1WvHAYrTPXBH04MjK6tIfSr\/wglHeouR5V+kXAWYRZ6KYXSjLg4+fqn7\/4aZODyWNCszqkW3jqtU9+09VN996tpfWsKgMHT2yeRyG3nm7\/bbCRcRnM6pFQC+Kb6OrBKPseRPDDOLG6wc\/NbtQmni94yyc8Qa5joPBpIJUHTxfDVnefabatftsa+vEIwidOLZpHMyOHtmSVIvcpcSyBZ9N6FXxbXRh07lzfgjlbLS8FmXPa0q\/DnA5ceP1o1991vr5NqQrtq7FkoQUxPtx543nql27z1RXXl1VO288O\/7rtGf2nFiL6k9VffThpur3vztfDTv+2829rtee1yQUdX1eUUrvB0jAv6rn14umYpQ\/7XRwGZMbL6GobDHQ\/9DjJ89XcHoWlavVI5uyqei0KTbQOcQVenVcKDrPT+T8aaeDy3jocafnc14sY3jI4o1kxGthAx30zr1kTTDKnzczXEIMc6e2GYx+CUdpiNcgXgugd+4la4JR5lZWl2JY7uPSrwNsxOpfLkY46pdQBEkRjGqC0TB4Q8MFYgOds4q4FOGoH0IRJMV80TqC0TAIRrBOLFmIZQtwOcJRt4QiSI57yHUEo2HwpoZabKA78DfOQ2F6caP+o7\/\/bPzeoT1CESTJPeQ6gtEAmDOCL9z3sA10zC7eM3HOVbRg0qzxw4qnhSJI1CtemC8IRsPhjU3xYtmCmy\/mNWnB3Os91JjJGWI2Q0KSjqysLv3BS\/MFwWg4lEIpmmULNCFaMON9FG1fWusWE5\/JcRVOBRdS5d7xAoLRcHhzU6xJqw40ZTx3pLVublF1i0pRVOGAZOk2uoBgNBD1qsUjpV8HyvTQ46fcgNG4eE9FONq3\/5SLO4M4VDmqbhagQNpWVpc8VL+AYDQs3uAUZ3TPafMLtGrf\/aern734p2p5t+rRpYyD5N9\/5lBlyMNvvE5fJRgNi5IoRYk2p3sf9jSf9sVN\/\/d\/8tl49kh18qviAUWEIvNEkA0P0zcgGA1IXRK1tpsixFzRQ08IRXRrcuZRtNdZzjDZ5PfZ+AGF1jnIiofpGxCMhscTAIqwb\/9pT6fpRQSA8+11ZQek+N4jJO66yecQMnOknk3nAltdkMGJJwB3lX4RGLaY9TDHQN8mAWl0z5nqjVe3VCv\/tLX66HebBv+6xOfvQS2FkDMP0S9CMBqeCEb\/UPpFYLji6fyjVnOTkAhIEdTjz9H3N1dvrGyt3nl7c\/XpJ8MKSRGIokqkQgTZ00Z3EZvOnfPEZ2hGy2vvVVW1u\/TrwDDFeUW20JGDd9\/eUr3z1pZq9cjmrCtJQw1EEWKfeWx7Al8JdOrjldWla13yjakYDdNzVVX9XekXgeHZc+sZoYhsxHt18n799I+bxu12h1\/Ymk0lKQ5p3Ts6rUIEw6JadAmC0TC9IhgxNNFC9+DjttCRp0m7XVRfnnlsW7LhKOaGIgxFKDJDBIMkGF2CYDRAsWlktLx2vKqqnaVfC4bjocetAyZ\/sUkx2kFTauGKABTV2L2jMzY9wvBZvHAJgtFwxROBR0u\/CAxDPGXXQsdQRGtazOwcfuGK3r6j8Wfq1jPjvwpDUIzfrKwu\/cHLfXGC0XA9JxgxBOdb6GyhY1jGK75XulnvvePGs+MAdN0N5wQhKJs2ustwwOtArawuxWa646VfB\/I3uue0WQcGJ9pC79nfzczcfY+cqu59+NR4xkkogqIJRpchGA2bDwBZiyfdcYAmDNFtHS04+OjD4R86C1yWNropCEbD9lzpF4C8xZNuGLLRX7cf\/FePbPEeAjwsn4JgNGDa6chZrAt2fgpDF+\/ztr3ztl\/1gGA0DT8th88HgezEwoV7VYsoQMwatR2O4sykd99WNYKCaaObkmA0fNrpyE4sXHBmEaWIM4Ta9s5bghEUzEPyKQlGA6edjtzEMLqFC5QkzuhqewmDdjoommA0JT8py+ADQTYsXKBEbVeNtNNBsbTRzUAwKoN2OrIwPo3\/lvbbiiA1XbTTvfGqYAQF8nB8BoJRAep2uiOlXwfSt6+jAy8hNbGBMZaOtCnmjD79ozONoCAfr6wueTg+A8GoHD4YJM16bkq355b23\/\/vvuXXPhREtWhGfkKWw4eDpKkWUbrl3e230\/3zy1tLv8xQEvd+MxKMCrGyuvRBDOCVfh1IU1SL2t7KBam7+db2K0Ynjm2uPvqddjoowPGV1SXBaEaCUVl8QEiSahGcP+x1x43th6MVVSMogXu+OQhGZYkPycelXwTSoloEX4jNjG1z2CsU4ZCXeXaCUUHqPfaeIJAU1SL4QhfBKFrpnGkEg3akHqFgRoJReWynIxmqRfBluzoIRpWqEQydatGcBKPCrKwuvRYDeaVfB9KgWgRf1tWcURz26kwjGCzdQXMSjMrkSQK9Uy2Cje28sZvPhTONYJCer0cnmIOfimXyJIHeqRbBxro4z6hyphEMlZGJBQhGBXKmEX1TLYKL2\/GNbj4bcabRiTW3ATAgx+uRCebkJ2K5PFGgN3tHp118uIgdS2erK6\/uJhy9sWIJAwyIUYkFCUaFqk9DtoSBzsU64l03dbN5C3LV1ZxRLGEABsND7wUJRmXzAaJzo3tUi+BydnU0Z\/TpJ5uqN4UjGAJLFxogGJVNyZVOxVzRzbd0c8MHOeuqYlSNq0aWMMAAeNjdAMGoYPWThedLvw50Z\/TXqkUwjS7OMppYPbK5+uh3zjSCjB2xdKEZghGeMNCJGCaPbXTA5UV1tasFDJVZI8idDqCGCEaFq58wHCn9OtC+PbecHZ\/qD0yn03a6Fe10kKmPnU\/ZHMGIypMGuuBAV5hNl+100Ur37tuqRpCh5yxdaI5gRFU\/afjYlaAtsaLbga4wm50dBqNKOx3kysPtBglGTJYw+GDRmr13WroAs7ruhm4fJrzz1hZLGCAvv1lZXfrAa9YcwYgJSxhoRQyQ32bpAsysj4OQVY0gKx5qN0wwYqx+4mB1N42LpQvAfLpuQbWEAbJx3Iru5glGrKdqROOcXQTzu77jdjpLGCAbT3mpmicY8bn6ycPrrghNiafdO5ZUjGBeu3Z334aqnQ6S9\/HK6pKH2S0QjLiQDxqNUS2CxVzfwzZHSxggeWaLWiIY8SX1E4jjrgpN2HOLpQuwiK430028o50OUvWxYNQewYiN6FtlYc4ugsX1sZkurPyTJQyQqFcc6NoewYivqKtGDnxlIc4ugmbEyvuuRSvd0ffdIkCCPLxukZ96XIwyLQu5+VZLF6AJO2\/sp\/JqdTck53kHurZLMOJiDqkaMa89t56prrxKGx00YceN\/TxkiO10n\/7REgZIiGpRywQjNlT3r6oaMRdLF6A5fbTSTVjdDcn4jWpR+wQjLkXViLloo4PmxCKTvljCAMnwsLoDghEXVVeNXnGFmEW0\/Wijg+ZceXV\/FzOWMLxrdTf07fX6EH5aJhhxOfpZmcnekTY6FvPmq1uqE2t+PU3sWOq3AqudDnrnXqwjfvNwSXU\/6\/OuEtMyX8S8YtD\/x9\/bXj17cFv1zGPbXMd1+pwzeuetLePK0dB89KHFEmRBtahDghHT8KSCqcSBrg51ZR4RiiIMrR45\/2vp00\/ctK7X18ruiSFWjX4\/wLDHILkH65BgxGWpGjGtWNMN83jpF1dUJ475lXQxfT9wcKYR9EK1qGN+CzEtTyy4LMGIefz64DZzLJdx3Q39zhlZwgC9cO\/VMcGIqagacTkxA7HrJmu6mc3K4a1C0RSuT6BF1esEnVIt6oFgxCw8ueCi+jxrhTzF9rlooePyrruh\/2A01CUMkCj3XD0QjJhaXTV62hVjI7sEI2YQ67hf\/OXFQ5ElHl+WyvVQNYJOqBb1RDBiVnHy8seuGhdSMWJaEYpiA92lNs9dn0CFJCXJBCNLGKALqkU9EYyYycrq0h\/qcASfi\/mivg+hJA+TtdyXW8e940bvpwulEI4sYYDWPa9a1B\/BiHmoGvElqkVMY9pQVI3P7fGeulAqVTTtdNAq1aIeCUbMTNWIC5kv4nImoWjas4p2fEMr3YWiMpuCWMIQryfQuOfreW56Ihgxl5XVpXiicdzVo1Ix4jJmDUVaMzeWUnvhu2+5fYCGfaxa1D8\/2ViEDzBuYrmkWUNR2HOL91Pq3jFnBE07pFrUP8GIua2sLj1XVdURV7BsqkVczDyhKOy59YxruoGUPmva6aBRHxtRSINgxKIOuIJlsz2MjUxWcs8aiqICefMtglEOtNNBY56q57fpmZ9qLKReKfm6q1guFSMuNG8oqrTRXVJqh95qp4NGHF9ZXVItSoRgRBMecBXLteNG28P4QpxxM+1K7o3s23\/K1byI5ILRW4IRNEDnTUIEIxZWDws+70qWJ9rorrxKMOK8lcNbq0NPzh+KovqY2s1\/alJrXXXYKyzk9ZXVpVdcwnQIRjTlgENfy7NTtYh6ycKvD26rXvrFFQtdDtWiy\/vBT08m9fWoGsFCVIsSIxjRCIe+lmnHN8yDlG4yT\/TGq4vdIEe1aNdN3k+Xk1qF9p233UbAnOIw1\/dcvLT4iUZjHPpanp020hXtzVe3zL1k4UKqRdN5c8EA2rRom9ROBzP7WLUoTVtLvwA0LhYx\/IvLWgZP+Mt0vnXuisbaqPbeecZ76TLimq+8vKU6\/MJi7YptiPdBjivWmwj0MKdD1nOnSTCiUbG+e7S8Fuu7b3dlh82QfJmiOvDswSvmXrBwoTi36N5HVIsu5qPfbRq3Ka68vLWxa960aKd7MMmv7NJSvZ4M3vG6w4YECUa0IapG\/7crO2w7zRcVpekq0cS+\/adtNrzA0fc3V6tHNo+vdQ5VjUk7XW5Vo9jwF9cZOuaIk4QJRjQu1nePlteerqrqSVd3uFJbG0x7Yg334Rear1jEwoXRvtNFv3KxvOLEbzdVx49tHoegXG\/Uc2yni2oldOw39cH4JEowoi2H6qciO13hYbKqe\/iicvHiL65opWoRN6WPPp3W6uk2RKXtxLHzgTJCT4TLuJ6\/\/3DTuE1uKHJsp7teOzDdsnAhA4IRrYihwtHyWvwAOOwKD9N1N7ipGKq4YY9zidqsXjz0+KlsW+ji+qwPNeuv09Ej51sNhxZ8LifHdrpdu1W96dSh+kB8EiYY0Zo4zdkihuHaseSmYmjiRj62ni16JtHlRBtmGzfQFwaWi4mb+OPHNv7vRTXnwpbB+O8a1L+83NrpYoFM\/CkpwNIbCxcyIRjRtminiwPMrnGlh8N80bDEnMvKP21tPRBNRPjY\/1d\/VtQ1LkGO7XR7bj0z3vgHLbNwIRPWsdCqumx8yFUeluu10Q1CzBD9+Hvbqx9+e3tnoYjhyvGw172j\/M5fIjvPW7iQD8GI1tXl4yOu9HCoGOVrfFDo4a3Vd+\/7WvXMY9utK6ZRTa9zb1u0BC+bNaI9Fi5kRv2YrsQPhn9xtYfBRrr8RHXojZXu2uUoU47tdPv2n6pWH9uewFfCAB2IZVRe2Hx4VEgn6jLyz13tYXD+Rx5iduilX17xeXVIKKJtObbT7brpbDW6p+zztGjF6yurS8+5tHlRMaJL0VJ3t7ON8hc3EqQpKkPRzhR\/bNuiDzke9rpv\/+lxW2kbZ3ZRpI8tXMjTpnPnPPmlO6PltbudbZS3qBb96vCfSr8MyYjwc\/TI5uqdt7d8foAo9CnXnxExf\/fMY9uEI5rwtPXceRKM6Nxoee2VqqrucuXzFIPK3\/\/JZ6Vfht5Ee9yJ326qVo+cD0KqQqTowNMns6saVXU4+vmT7R5uzOAdWVld+qaXOU9a6ehDlJc\/cLZRnswXdWcSgo4fO9\/i42aNXOTYTheuvOrc+MHPm69uGVdhc9uyRxK00GVMMKJzsaFltLz2gJa6PFnV3a6YEYp2uI0OnZysFRaQSF3u79Hb7jwz\/hNimUQsLhGSmEK00L3nQuVLKx290VKXp3sfOVWN9tnglIMIWbNa5Ib2ow9nb+07fmyTuaiB+tHffzY+J2go4r19+IUrxivJvWfZgBa6ARCM6M1oee1aLXX5+cFPP7OVjsZFiIuWwfEiCU\/mByFWYN\/78KnBfV\/jQ5Jf3jKu6gpIrPOXqkX5E4zolS11+RnaU2DSEzee7761uXrj1a3aBjN23V+cq3724nA3WMb79PALWzdse6U4ttANhGBE77TU5eWF\/\/3\/K\/0S0KFJ+5LDafNUwoOUeI\/++qBNdgXTQjcgPsWk4IH6MDSAL4mqw4OPnxxXHibLJ8jHGyvDD7TxHo1NdrGi3NbO4jjIdWAEI3oXW+qqqrrbK5E+N6b0Zf3NZ\/zf5KGkebFYT\/6zFz+r9tya35py5vaUuaJhEYxIwsrq0mtVVf3cqwFcStx8RnuWm888RJtZnMdVijgH6dGnTqoeleH1ldWlQ6VfhKERjEhJDC4e8Yqky5N6UjC5+Xzo8ZNejwyU0E53oXGA\/9Vnzn0bLi10AyUYkYy6pc4PmoRdd4Nf8qQjDuCM6pEn82krdf16PEj6wU9PVnvvVN0coAdWVpc+KP0iDJFgRFLqXt2nvSrANGLjmSfzaSutnW69qG7G8hDhaFCeX1ldeqX0izBUghHJqc8CeN0rk57rtdKRoMmTeeEoXSW2060X4Ujr5yAcr6rqQOkXYcgEI1J1txXe6bnuBsGINMWTeeEoXaW2060XrZ\/CUfburtv+GSjBiCSZNwJmJRylq+R2uvUiHO3bfyqdL4hZPG019\/D5KUWy6h5eK7wTcuXVpV8BUiccpav0drqJffefNnOUn9frNn8GTjAiaSurSwes8E5HDLpD6iIcOUcmPdrpvhAzRw7MzsbHDqEvh2BEDswbATOZLGQQjtKhne7LHn36pLPh8mCuqCB+QpG8+qwA80bATKLCed\/D5jlSop3uC+PK5t9YxpC4mCt6rfSLUBLBiCyYNwLmEcPuo3tOu3aJeOPVLdWnf9xU+mX4XIR3yxiSZa6oQIIR2TBv1C\/D7OTq3odPmedIxKefbKpWXlY1Wi+WMfj5mhxzRYUSjMiNeaOeXGUjHRl71DKGZBx+4QqzRhd46AlVo8TcYa6oTH4ykZV63shTHGAmk011pOGZx7YJR+tES52Wz2T8R+cVlctPJbJTD0I+7ZUDZrHrJvMcqYiWughHb76qrW5i3\/7Tqpr9e35ldelQ6RehZJvOnfMhJE+j5bVYyHCXl68b0QN\/3yNuKsnfs3+7bbw6mjTEyuq9o9ONzoEdP7a5+vSTdr+9E+N\/R7Pvo+PHNjX+z2RqR7TQIRiRrdHy2rVVVUX1aLdXEQCY08d1KNJCVzitdGSrfqrzgGUMAMACHhCKqAQjclf\/IHP4KwAwj6frsxJBMCJ\/9Q+0\/7+9+8lpK8sCOHxVG4AdBHnmEfQKipmH5VpBYAVNVtDJCpqsoGEHZOgZ7ABGnlmwA9hB6yXH0SsCAdvPfn\/O90ml7q5Bq\/u9kqVfzn3nWsYAAKzi0iWu1AkjBiF+2L55mwDAO1TLFs48KOqEEUNyEj90AACvqb5NntpAx3O20jEok\/HioJRSfXe0580CAC\/4l2ULvMTEiEGZzUf31cpNbxUAeMGpKOI1wojBiR+8U28WAKj5OpuPLjwQXiOMGKT44bOpDgAosYHOsgV+SxgxWLGp7tIbBoDUbKDjXSxfYPAm40V1tO7QmwaAdB5KKUc20PEeJkZkcGyNNwCkYy03KzExIoXJeHFUSrm2xhsA0rCWm5WYGJFC\/DAex58eAQDDZi03KxNGpBE\/kCfeOAAM2qm13KxDGJHKbD66cscRAAzWpShiXcKIdOIH85M3DwCDUkWRkyGszfIF0pqMF1UgffRPAAD03rfZfDT1GtmEiRFpxZ8quQAWAPrtzjfENMHEiPQm40X13dFf2Z8DAPRQFUXH7iqiCSZG8ONPmVwACwD9IopolIkR\/Jga7ccFsIeeBwB0XnUv4dFsPrr3qmiKiRH8+N7oMS6ANTkCgG57ikmRKKJRwgiCOAKAzltG0a1XRdMcpYNn4lhd9YP7wbMBgM4QRWyViRE8E5OjafwAAwDtE0VsnTCCF8QP77E4AoDWiSJ2QhjBK8QRALROFLEzwgh+QxwBQGtEETsljOAN4ggAdk4UsXPCCN5BHAHAzogiWiGM4J3EEQBsnSiiNcIIVhA\/1EcugQWAxokiWuWCV1hDXAJ7XUo59PwAYGOiiNaZGMEa4hLYY5MjANiYKKIThBGsSRwBwMYeRBFd4SgdbMixOgBYy11E0aPHRxcII2jIZLy4KKV89DwB4E2iiM5xlA4aMpuPTkopl54nAPyWKKKTTIygYZPx4ryU8m\/PFQB+cRl\/kAidI4xgCybjRfWj\/z\/PFgB+EkV0mqN0sAWz+aj63ujUswWA7z6JIrrOxAi2aDJeHMXGuj3PGYCkTuMPDKHThBFsmTgCIKnq4tbpbD669g8AfSCMYAfcdQRAMk8ubqVvfGMEOxArSY9LKTeeNwADV63jPhBF9I2JEeyYi2ABGLBvpZQTdxTRR8IIWmCdNwADZB03veYoHbQgtvP8HWewAaDvTkURfWdiBC2KjXVXpZQP3gMAPWTzHINhYgQtig9Tj+JDVQDok7vYPCeKGAQTI+gISxkA6JGbmBRZssBgCCPoEEsZAOiBr7P56MyLYmiEEXRMfHdUHUvY824A6JDqe6KzWCAEgyOMoIMm48VBLGU49H4A6ICHODrn0lYGSxhBh\/nuCIAO8D0RKQgj6DjfHQHQoi+z+eizF0AGwgh6wH1HAOxY9T3RyWw+uvLgycI9RtADtfuOvnlfAGxZdT\/RkSgiGxMj6JnJeFGtSP2v9wbAFljFTVrCCHrI0ToAGuboHOk5Sgc95GgdAA1ydI70iokR9J+jdQBswNE5CMIIBiCO1l24EBaAd3J0Dp5xlA4GII7WHZdSLr1PAN5QXdh6IIrgn0yMYGAm48U0pkd73i0Az3yazUfnHgr8ShjBAE3Gi\/3YWven9wtALFg4iRMGwAuEEQxYLGb4bHoEkJoFC\/AOwggGzmIGgLQeYkp07R8BeJswgiQm40U1OfqP9w2QwtfqxMBsPnr0uuF9hBEkYnoEMHimRLAmYQQJmR4BDJIpEWxAGEFSpkcAg2FKBA0QRpCc6RFAr5kSQUOEEVDF0UFMj9x7BNAPpkTQMGEE\/OTeI4Be+DKbjz57VdAsYQT8w2S82I\/p0V+eDECn3MSU6N5rgeYJI+BFk\/HiOALpgycE0KqnUsrZbD668Bpge\/7wbIGXxLn1anPdFw8IoDWXpZQDUQTbZ2IEvMlyBoCdu4spkeUKsCPCCHi3yXgxLaWcO14HsDVPsX773COG3RJGwEpiOcNZ\/GV7HUBzLmNK5E4iaIEwAtYSx+vOba8D2NhNBNGtRwntEUbARmJ7XRVIh54kwEoeIoiuPDZonzACGjEZL07icljfHwH8XvUd0blLWqFbhBHQGN8fAbzJd0TQUcIIaFwEUnW87qOnC\/Ddtwiie48DukkYAVtjQQPA98UKn93LGpVnAAAEn0lEQVRHBN0njICtiwUNn10QCyRSLVY4EUTQH8II2BmBBCTwEBOiCy8b+kUYATs3GS+mccTOBjtgKAQR9JwwAlpjxTcwAIIIBkIYAa0TSEAPCSIYGGEEdIZAAnpAEMFACSOgcyKQTixpADpEEMHACSOgs2yxAzpAEEESwgjovAikaoL00dsCdsTFrJCMMAJ6YzJeHMQESSAB23JZSrkQRJCPMAJ6ZzJe7JdSzuKvPW8Q2NBTKeUqJkT3HibkJIyAXrPJDthA9f1Q9e3Q+Ww+evQgITdhBAxCfIdUTZD+8kaBN9zEcTkLFYCfhBEwKPEd0lksa3DMDlhaHperpkO3ngrwnDACBiuO2VWRdOgtQ1rVcbnzmBA5Lge8ShgBgzcZL44ikKamSJCG7XLASoQRkEZss5uaIsFgmQ4BaxNGQEq+RYLBWH47ZDoEbEQYAelNxotpBJKNdtAfN7Fq+8p0CGiCMAIIcdTuJP5y1A66Z3lU7spFrEDThBHAC2pH7aYuj4VWPcVk6MKabWCbhBHAG2Kr3YlIgp1ZfjdUTYauPHZgF4QRwApEEmyNGAJaJYwA1iSSYGNiCOgMYQTQgFokHVvcAL\/1UIsh67WBzhBGAA2LxQ3TiCQrwKGUu1igcG2BAtBVwghgi2IF+HEtlBy5I4PqiNx1bTLkniGg84QRwA7FkbtlKP3p2TMgdxFC147IAX0kjABaUpsmHfs2iR56qE2Frk2FgL4TRgAdEaE0rYWSY3d0yTKEriOE7r0dYEiEEUBHxRKHIxMlWiKEgFSEEUBP1I7eLWPJN0o06aaUclsLIUfjgFSEEUCPxTKHo1owmSrxHstpUBVCt5YlAAgjgMGZjBfLSDoSS0QE3damQbemQQC\/EkYACUQsHTwLpj3vfnCWx+HuTYIAViOMAJKKb5aWkXQgmHrjqRY\/9zEFurccAWAzwgiAX9QmTMtg2hdNO1dNfx6fRZBjcABbIowAWElEU4mFD0U4rWU59Skx8fn5r46\/AbRDGAHQqNoRvVKLplILqTLgVeN3MeUpET7Lf7+MHUfeADpKGAHQqlg5vl\/73\/D8P7\/29+qqI38fVvz\/UZ\/avOal6U397z3O5qO3\/jsA6AFhBAAApPdH9gcAAAAgjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQQAAKQnjAAAgPSEEQAAkJ4wAgAA0hNGAABAesIIAABITxgBAADpCSMAACA9YQ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class=\"elementor-element elementor-element-1e88c9c6 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"1e88c9c6\" 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<div class=\"elementor-element elementor-element-724b68ca e-flex e-con-boxed e-con\" data-id=\"724b68ca\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9b069c4 e-con-full e-flex e-con\" data-id=\"9b069c4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-754a6a99 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"754a6a99\" 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-69b675db elementor-widget elementor-widget-heading\" data-id=\"69b675db\" data-element_type=\"widget\" id=\"carriere_data\" 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\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bf76cf elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"4bf76cf\" 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>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ?\u00a0<\/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-3105d638 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3105d638\" 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\tD\u00e9couvrez nos <span style=\"color: #4826dd;\"><strong>formations en Data Science<\/strong><\/span>.\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\t\t<div class=\"elementor-element elementor-element-8b84b20 elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-button\" data-id=\"8b84b20\" 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\" href=\"\/formations-data\" target=\"_blank\" id=\"advanced-ads-button\">\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\">Je d\u00e9couvre 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<div class=\"elementor-element elementor-element-bbe0475 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"bbe0475\" 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-b8a54b0 elementor-widget elementor-widget-heading\" data-id=\"b8a54b0\" data-element_type=\"widget\" id=\"carriere_gratuit\" 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\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a537e3 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"1a537e3\" 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\tAssistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI &#8230;\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\t\t<div class=\"elementor-element elementor-element-27e9c3ba elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"27e9c3ba\" 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\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\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\">Je d\u00e9couvre 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<div class=\"elementor-element elementor-element-29576afc elementor-absolute elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"29576afc\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" 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On l\u2019utilise notamment dans la m\u00e9decine, l\u2019\u00e9conomie ou encore les sciences sociales. La Data Science est cr\u00e9atrice d&#8217;emploi, mais pour se former efficacement \u00e0 cette derni\u00e8re, il faut choisir la formation adapt\u00e9e. Il existe pour cela diff\u00e9rents cursus, des formations universitaires plut\u00f4t ax\u00e9es sur [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":182706,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"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>Des universit\u00e9s europ\u00e9ennes et am\u00e9ricaines s\u2019associent pour former l\u2019Academic Data Science Alliance et cr\u00e9er un cursus sp\u00e9cialis\u00e9 en Data Science<\/title>\n<meta name=\"description\" content=\"Afin de former les futurs intervenants de la data, des universit\u00e9s d\u2019Europe et d\u2019Am\u00e9rique du Nord ont form\u00e9 l\u2019Academic Data Science Alliance. 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