{"id":218394,"date":"2020-08-25T00:00:00","date_gmt":"2020-08-24T22:00:00","guid":{"rendered":"https:\/\/blog.lewagon.com\/non-classifiee\/women-in-data-science\/"},"modified":"2020-08-25T00:00:00","modified_gmt":"2020-08-24T22:00:00","slug":"women-in-data-science","status":"publish","type":"post","link":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/","title":{"rendered":"We Need More Women in Data Science (and Our Plan to Get There!)"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"

Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d’\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).<\/p>\n","protected":false},"author":1,"featured_media":218395,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[100],"type_de_post":[],"post-format":[175],"class_list":["post-218394","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-career","tag-data-fr","post-format-post-fr"],"acf":[],"acfml_non_translatable_locations":null,"_wp_attached_file":null,"_wp_attachment_metadata":null,"wpml_media_processed":null,"_elementor_inline_svg":null,"_elementor_source_image_hash":null,"_wp_attachment_image_alt":null,"_msc":null,"_elementor_is_screenshot":null,"_wp_attachment_context":null,"_oembed_4f1dc266c1e5b199d2e3668569863d35":null,"_wp_attachment_backup_sizes":null,"description_courte_du_cours":null,"_description_courte_du_cours":null,"sujets":null,"_sujets":null,"niveau":null,"_niveau":null,"duree":null,"_duree":null,"lien_externe_du_cours":null,"_lien_externe_du_cours":null,"_g_feedback_shortcode_8e54bebc0966bf7f9290fee5ef5e57c8a8c597c6":null,"_g_feedback_shortcode_atts_8e54bebc0966bf7f9290fee5ef5e57c8a8c597c6":null,"elementor_font_files":null,"elementor_font_face":null,"_elementor_location":null,"_elementor_priority":null,"_elementor_code":null,"_elementor_extra_options":null,"date_de_levent":null,"_date_de_levent":null,"heure_de_debut_de_levent":null,"_heure_de_debut_de_levent":null,"heure_de_fin_de_levent":null,"_heure_de_fin_de_levent":null,"time_zone":null,"_time_zone":null,"description_de_levent":null,"_description_de_levent":null,"format_du_cours":null,"_format_du_cours":null,"pre-requis":null,"_pre-requis":null,"langue_de_levent":null,"_langue_de_levent":null,"lien_externe_de_levent":null,"_lien_externe_de_levent":null,"_yoast_wpseo_primary_tag_events":null,"lieu_de_levent":null,"_lieu_de_levent":null,"_menu_item_type":null,"_menu_item_menu_item_parent":null,"_menu_item_object_id":null,"_menu_item_object":null,"_menu_item_target":null,"_menu_item_classes":null,"_menu_item_xfn":null,"_menu_item_url":null,"_omapi_type":null,"_omapi_ids":null,"_omapi_enabled":null,"_yoast_wpseo_content_score":null,"_pll_strings_translations":null,"_yoast_wpseo_primary_post_tag":null,"_yoast_wpseo_primary_type_de_post":null,"_yoast_wpseo_primary_post-format":null,"_oembed_e607e81f61090d85eabdabc743a27470":null,"_oembed_196c62ccee9fda191cd6fa5f568ddc05":null,"_oembed_6b5f28c0de48cbf3a2ad766be5eb3b30":null,"_oembed_082c4292f4cd0dedc40ae746a899501c":null,"om_disable_all_campaigns":null,"wpil_sync_report3":"1","_yoast_wpseo_focuskw":null,"_yoast_wpseo_linkdex":null,"_yoast_wpseo_opengraph-title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","_yoast_wpseo_opengraph-description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","_yoast_wpseo_twitter-title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","_yoast_wpseo_twitter-description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","wpil_links_inbound_internal_count":"0","wpil_links_inbound_internal_count_data":[],"wpil_links_outbound_internal_count":"0","wpil_links_outbound_internal_count_data":[],"wpil_links_outbound_external_count":"0","wpil_links_outbound_external_count_data":[],"wpil_sync_report2_time":"2023-08-11T09:31:53+00:00","gnpub_modified_count":null,"_encloseme":null,"_jetpack_memberships_contains_paid_content":null,"_oembed_df252bc3f21e94e550790f0a26013d33":null,"_oembed_7c25793225e5877909b9566a95c01f07":null,"_oembed_time_7c25793225e5877909b9566a95c01f07":null,"_oembed_c035311b2d37111892bc6336ad75c1a7":null,"_oembed_time_c035311b2d37111892bc6336ad75c1a7":null,"_yoast_wpseo_focuskw_text_input":"","_yoast_wpseo_opengraph-image":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg","_yoast_wpseo_twitter-image":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg","_bnitk_mfd_meta-robots-noindex":null,"_yoast_wpseo_meta-robots-noindex":null,"_bnitk_mfd_meta-robots-nofollow":null,"_yoast_wpseo_meta-robots-nofollow":null,"_oembed_9b38dff8e9475b390d223d1a13735d6e":null,"_oembed_09b03dce1da57707d8b400d6ead6cfea":null,"_oembed_time_09b03dce1da57707d8b400d6ead6cfea":null,"_oembed_761875ecd5d7c814e779a8a1669e3078":null,"_oembed_time_761875ecd5d7c814e779a8a1669e3078":null,"_oembed_60128998417fdcbaac97a635f5785efd":null,"_oembed_time_60128998417fdcbaac97a635f5785efd":null,"_oembed_bbc2c908fc7e611d82dce88119dc4350":null,"_oembed_time_bbc2c908fc7e611d82dce88119dc4350":null,"_oembed_5ada75a4373349f7b136423290505b3a":null,"_oembed_time_5ada75a4373349f7b136423290505b3a":null,"_oembed_086373a651e90a4eb1279fa1f945472c":null,"_oembed_time_086373a651e90a4eb1279fa1f945472c":null,"_wpml_post_translation_editor_native":null,"_oembed_5e24c29ce369f6b80c9eeec04f14665b":null,"_oembed_time_5e24c29ce369f6b80c9eeec04f14665b":null,"_oembed_8c3e7085f10b7c0fc5520e72277d797b":null,"_oembed_time_8c3e7085f10b7c0fc5520e72277d797b":null,"_oembed_1489782c3c8ef26605b6876b88f7bdda":null,"_oembed_time_1489782c3c8ef26605b6876b88f7bdda":null,"_oembed_0a3d659fc8de333aa903ab0b56018d23":null,"_oembed_time_0a3d659fc8de333aa903ab0b56018d23":null,"_oembed_d1585e059963c7dbe1909a198f64637b":null,"_oembed_da273c5e4d4993b38963204fa3018b68":null,"_oembed_time_da273c5e4d4993b38963204fa3018b68":null,"_oembed_a5e2c70342e4f17e48253b0a60b76258":null,"_oembed_time_a5e2c70342e4f17e48253b0a60b76258":null,"_oembed_83c8f84c43191797360817ecdc633650":null,"_oembed_time_83c8f84c43191797360817ecdc633650":null,"_oembed_e105b3463a1e23321ff3d1a9daf4ce77":null,"_oembed_1692f2329443bc1b18fc320e0d77cb4e":null,"_yoast_wpseo_schema_article_type":null,"_oembed_02bf1d274545a46fdad44828db802e9b":null,"_oembed_483efee027379bb1099137e135e60619":null,"_oembed_time_483efee027379bb1099137e135e60619":null,"_oembed_d9e3a2e55472c308a6d4f95f9859d57c":null,"_oembed_time_d9e3a2e55472c308a6d4f95f9859d57c":null,"_oembed_14a773041d4083fdc540105ccc635e1f":null,"_oembed_time_14a773041d4083fdc540105ccc635e1f":null,"_oembed_fd2c0295b311b878f43def139f693291":null,"_oembed_time_fd2c0295b311b878f43def139f693291":null,"_oembed_9e88339a75e081aa4aa002ac43b5917e":null,"_oembed_time_9e88339a75e081aa4aa002ac43b5917e":null,"_oembed_e58b2264fd34411178c5aead6e76fc0e":null,"_oembed_time_e58b2264fd34411178c5aead6e76fc0e":null,"_oembed_bddf29494cd341c273d2f25802785f3a":null,"_oembed_time_bddf29494cd341c273d2f25802785f3a":null,"_oembed_9fdc7ffbd7d1c456cb57323136bcf86d":null,"_oembed_time_9fdc7ffbd7d1c456cb57323136bcf86d":null,"_oembed_6882adf1f7ba34c40d8abda49c078862":null,"_oembed_time_6882adf1f7ba34c40d8abda49c078862":null,"_oembed_42ae0b6a999f98ed81c86edf9b80d360":null,"_oembed_time_42ae0b6a999f98ed81c86edf9b80d360":null,"_oembed_f4dcff6ba8f84f09cade790420ba4d80":null,"_oembed_time_f4dcff6ba8f84f09cade790420ba4d80":null,"_oembed_25071af9d5ecd73a9356fe5704bba4d8":null,"_oembed_time_25071af9d5ecd73a9356fe5704bba4d8":null,"_oembed_a86728f5efc0ca0642006bbb96f843cc":null,"_oembed_time_a86728f5efc0ca0642006bbb96f843cc":null,"_oembed_d7b5055b785ef8a0cf22c87d024bf2a4":null,"_oembed_time_d7b5055b785ef8a0cf22c87d024bf2a4":null,"_oembed_6a73e101cae7c3452b00a72cf0fc9b22":null,"_oembed_time_6a73e101cae7c3452b00a72cf0fc9b22":null,"_oembed_0aef478f0830cc2e857b9a150a7f763a":null,"_oembed_time_0aef478f0830cc2e857b9a150a7f763a":null,"_oembed_d1a3bdcdf10e4859560b01d910ad1120":null,"_oembed_time_d1a3bdcdf10e4859560b01d910ad1120":null,"_oembed_05ef2af36a31586761b7311d393d1df4":null,"_oembed_time_05ef2af36a31586761b7311d393d1df4":null,"_oembed_ed00fe1690bb2e86f1eb06acfe8a13e7":null,"_oembed_time_ed00fe1690bb2e86f1eb06acfe8a13e7":null,"_oembed_59ffcbf71f633752ca4f26b3b4a544c9":null,"_oembed_time_59ffcbf71f633752ca4f26b3b4a544c9":null,"_oembed_a7b688611478922544f14672fda18461":null,"_oembed_time_a7b688611478922544f14672fda18461":null,"_oembed_266f9a151e3a09eeee918af2d28fd24f":null,"_oembed_time_266f9a151e3a09eeee918af2d28fd24f":null,"_oembed_9f52726dd229470e47d40ff0c8aeb5f8":null,"_oembed_time_9f52726dd229470e47d40ff0c8aeb5f8":null,"_oembed_5547f713058fed19783e0533ce393a31":null,"_oembed_time_5547f713058fed19783e0533ce393a31":null,"_oembed_68ff8dd20e77e109ad084c2252ca040d":null,"_oembed_time_68ff8dd20e77e109ad084c2252ca040d":null,"_oembed_819f09a569080db91bf5dadda0a30d9f":null,"_oembed_time_819f09a569080db91bf5dadda0a30d9f":null,"_oembed_4fc081fbdf0afd05a624ba852a63e133":null,"_oembed_time_4fc081fbdf0afd05a624ba852a63e133":null,"_oembed_d66baf1301b99db8b19a0924319cf03e":null,"_oembed_time_d66baf1301b99db8b19a0924319cf03e":null,"_oembed_14a5f80e3eef4903e482b0ef3799659e":null,"_oembed_time_14a5f80e3eef4903e482b0ef3799659e":null,"_oembed_c24c715adb3853482526a794a5f3c3bb":null,"_oembed_time_c24c715adb3853482526a794a5f3c3bb":null,"_oembed_9c493e098be2852715cc990b6e6243f3":null,"_oembed_time_9c493e098be2852715cc990b6e6243f3":null,"_oembed_b60b7e3028d326711916099f54e986fa":null,"_oembed_time_b60b7e3028d326711916099f54e986fa":null,"_oembed_5283e19fcec44e632de8d436d46ec2f7":null,"_oembed_time_5283e19fcec44e632de8d436d46ec2f7":null,"_oembed_057692cb4479cf5c77363896a28db44f":null,"_oembed_time_057692cb4479cf5c77363896a28db44f":null,"_oembed_e8cb0f41d141fe5eb9d69fc32a98cd72":null,"_oembed_time_e8cb0f41d141fe5eb9d69fc32a98cd72":null,"_oembed_75dcbca80ec1829a77578390fae8fa56":null,"_oembed_time_75dcbca80ec1829a77578390fae8fa56":null,"_oembed_e49318dfeabd5f16d7967e2fcc746fbd":null,"_oembed_time_e49318dfeabd5f16d7967e2fcc746fbd":null,"_oembed_76116b03fe5a013341210d278021184b":null,"_oembed_time_76116b03fe5a013341210d278021184b":null,"_oembed_6c81e1c9b634b5066fb37aaccfd71053":null,"_oembed_time_6c81e1c9b634b5066fb37aaccfd71053":null,"_oembed_abbc1aa97e554f334c2ce25f0d883702":null,"_oembed_time_abbc1aa97e554f334c2ce25f0d883702":null,"_oembed_ba421363b36dd97c087665d5025396cf":null,"_oembed_time_ba421363b36dd97c087665d5025396cf":null,"_oembed_a98f236eb48eb9cd4ede7f319e9cfbc7":null,"_oembed_time_a98f236eb48eb9cd4ede7f319e9cfbc7":null,"_oembed_d61fec7d73397687995fec8d7bd9852f":null,"_oembed_time_d61fec7d73397687995fec8d7bd9852f":null,"_oembed_2e9e46a0176fe90e49cc5fff32ac6912":null,"_oembed_time_2e9e46a0176fe90e49cc5fff32ac6912":null,"_oembed_8a304f49b3aa1c3eec8d0b0577e05e3d":null,"_oembed_time_8a304f49b3aa1c3eec8d0b0577e05e3d":null,"_oembed_ad30824ca1e37cffdad2dbce46c4998a":null,"_oembed_time_ad30824ca1e37cffdad2dbce46c4998a":null,"_oembed_6c3dacc8273d4877c65378c1f324c9cc":null,"_oembed_time_6c3dacc8273d4877c65378c1f324c9cc":null,"_oembed_1d0e7d3c6d826ca1e56a24218abba6f2":null,"_oembed_time_1d0e7d3c6d826ca1e56a24218abba6f2":null,"_oembed_50929cd1300f7cdee57e6e5451afb186":null,"_oembed_time_50929cd1300f7cdee57e6e5451afb186":null,"_oembed_72dc139d079681a2c3d759a86af48ccc":null,"_oembed_time_72dc139d079681a2c3d759a86af48ccc":null,"_oembed_d359fdb1fa5da9e62dd3505937f46fb6":null,"_oembed_time_d359fdb1fa5da9e62dd3505937f46fb6":null,"_oembed_589d6065ccac39334963be5bd8656631":null,"_oembed_time_589d6065ccac39334963be5bd8656631":null,"_oembed_715be02b6ebadc1be6dd638a57d01eb7":null,"_oembed_time_715be02b6ebadc1be6dd638a57d01eb7":null,"_oembed_f5139a9df267d3aa532f5b56409c90b0":null,"_oembed_time_f5139a9df267d3aa532f5b56409c90b0":null,"_oembed_3d9a26be229b27005ca74596fb62cc08":null,"_oembed_time_3d9a26be229b27005ca74596fb62cc08":null,"_oembed_a7d6f0ce79de685fc6f7f4d447e15468":null,"_oembed_time_a7d6f0ce79de685fc6f7f4d447e15468":null,"_oembed_20849479e832b5312335e3086c5f972b":null,"_oembed_time_20849479e832b5312335e3086c5f972b":null,"_oembed_2be4d392f66846deb7624c1bf3bc293e":null,"_oembed_time_2be4d392f66846deb7624c1bf3bc293e":null,"_oembed_9bcf546ec292041d23df28a719840688":null,"_oembed_time_9bcf546ec292041d23df28a719840688":null,"_oembed_0858ffd7404bcd7d82896f942481fe63":null,"_oembed_time_0858ffd7404bcd7d82896f942481fe63":null,"_oembed_4a2dd0ecf082a7c7d82731c06a644799":null,"_oembed_time_4a2dd0ecf082a7c7d82731c06a644799":null,"_oembed_8a1e46bc730cb21c1085d157ae6fa8b6":null,"_oembed_time_8a1e46bc730cb21c1085d157ae6fa8b6":null,"_oembed_cae7deb931d75f809e459e912e71429a":null,"_oembed_time_cae7deb931d75f809e459e912e71429a":null,"_oembed_6fcb4f8ab72abccda75674f71a946f97":null,"_oembed_time_6fcb4f8ab72abccda75674f71a946f97":null,"_oembed_7f0bfd584f844117a64fe73d83b43245":null,"_oembed_time_7f0bfd584f844117a64fe73d83b43245":null,"_oembed_d0aea105cffdf6e004979cf1e4f51e96":null,"_oembed_time_d0aea105cffdf6e004979cf1e4f51e96":null,"_oembed_e53b85b8766b3dc91338f6c1b95a2541":null,"_oembed_time_e53b85b8766b3dc91338f6c1b95a2541":null,"_oembed_48832be87b763046d232c1f2b5ac5fb3":null,"_oembed_time_48832be87b763046d232c1f2b5ac5fb3":null,"_oembed_32a9a34fcf91c466be9a08e1dba3c84e":null,"_oembed_time_32a9a34fcf91c466be9a08e1dba3c84e":null,"_oembed_fb50b2dc07acfa2418f00cdc2ad4c4c2":null,"_oembed_time_fb50b2dc07acfa2418f00cdc2ad4c4c2":null,"_oembed_3089e1d62f944a73b38c996e49abd2fc":null,"_oembed_time_3089e1d62f944a73b38c996e49abd2fc":null,"_oembed_1ecc99e75cf5d001c8da4f4d600703a8":null,"_oembed_time_1ecc99e75cf5d001c8da4f4d600703a8":null,"_oembed_b9c03ca24b382c17966861d251dc3b8d":null,"_oembed_time_b9c03ca24b382c17966861d251dc3b8d":null,"_wp_trash_meta_status":null,"_wp_trash_meta_time":null,"_wp_desired_post_slug":null,"_oembed_031755ba22f2b639d88c78254a99ff39":null,"_oembed_time_031755ba22f2b639d88c78254a99ff39":null,"description_de_la_ressource":null,"_description_de_la_ressource":null,"titre_du_fichier":null,"_titre_du_fichier":null,"_edit_last":null,"_edit_lock":null,"_wp_old_slug":null,"_top_nav_excluded":null,"_cms_nav_minihome":null,"inline_featured_image":null,"_yoast_wpseo_estimated-reading-time-minutes":null,"_yoast_wpseo_wordproof_timestamp":null,"_wpml_media_duplicate":"1","_thumbnail_id":"218395","_wpml_media_featured":"1","_wpml_word_count":null,"_last_translation_edit_mode":null,"_last_editor_used_jetpack":null,"_elementor_edit_mode":null,"_elementor_template_type":null,"_wp_page_template":"default","_elementor_page_settings":null,"_elementor_data":null,"_elementor_page_assets":[],"_elementor_version":null,"_elementor_pro_version":null,"_elementor_elements_default_values":null,"_elementor_css":null,"_elementor_source":null,"_elementor_conditions":null,"_wpml_location_migration_done":null,"_elementor_controls_usage":null,"_elementor_screenshot_failed":null,"_elementor_screenshot":null,"_elementor_popup_display_settings":null,"_yoast_wpseo_primary_category":null,"_wp_old_date":null,"_elementor_template_widget_type":null,"_icl_lang_duplicate_of":null,"_yoast_wpseo_metadesc":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","_yoast_wpseo_title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","contenu_de_larticle":"

Un probl\u00e8me profond\u00e9ment ancr\u00e9<\/h2>\n
\n Malgr\u00e9 de nombreuses initiatives pour attirer plus de femmes dans le domaine et un nombre croissant de femmes dipl\u00f4m\u00e9es en STEM, le taux de r\u00e9tention reste un probl\u00e8me majeur dans le secteur. Dans l'industrie de la technologie, les femmes sont deux fois plus enclin \u00e0 abandonner leur poste que leurs coll\u00e8gues masculins \n (NCWIT)<\/a>. \n<\/div>\n
\n
A quoi est d\u00fb ce taux d\u2019abandon alarmant ? USA Today rapporte que \u00ab L\u2019environnement toxique de travail - o\u00f9 le harc\u00e8lement, les st\u00e9r\u00e9otypes et l'intimidation se produisent - conduit  les femmes et les personnes de couleur \u00e0 quitter leur emploi, ce qui sape les efforts mis en place par les entreprises technologiques pour accro\u00eetre la diversit\u00e9, g\u00e9n\u00e9rant des co\u00fbts d\u2019environ 16 milliards de dollars par an. \u00bb \n<\/div>\n
\n
Non seulement cette tendance alarmante pr\u00e9sente un net d\u00e9savantage pour les femmes, mais les entreprises technologiques elles-m\u00eames sont perdantes. Cette in\u00e9galit\u00e9 omnipr\u00e9sente n\u00e9cessite une r\u00e9forme au-del\u00e0 de la simple augmentation des efforts de recrutement ou la mise en place de quotas de femmes.\n<\/div>\n
\n
\n<\/div>\n

Nos efforts pour plus de parit\u00e9 dans le secteur de la technologie \u00e0 ce jour<\/h2>\n
\n Au Wagon, notre mission est d'enseigner \u00e0 tous les comp\u00e9tences indispensables d'aujourd'hui et de demain. Pour remplir cette mission, nous pensons que la parit\u00e9 hommes-femmes est essentielle. Depuis notre lancement \u00e0 Montr\u00e9al en 2017, nous avons r\u00e9guli\u00e8rement augment\u00e9 le nombre de femmes dans nos cohortes de 11% \u00e0 50% +. En plus de recruter plus de femmes dans nos \n formations Data Science<\/a> et \n D\u00e9veloppement Web<\/a>, nous nous attaquons \u00e9galement au probl\u00e8me de la r\u00e9tention en cr\u00e9ant un espace propice \u00e0 l\u2019\u00e9panouissement d\u2019une communaut\u00e9 de femmes en technologie. Avoir des femmes mentors, des mod\u00e8les et des coll\u00e8gues cr\u00e9ent une meilleure culture d'entreprise et contribue \u00e0 r\u00e9soudre la probl\u00e9matique du taux d'abandon de postes actuellement \u00e9lev\u00e9.\n<\/div>\n
\n
\n<\/div>\n

Le statut des femmes dans le secteur des donn\u00e9es<\/h2>\n
\n Alors que Le Wagon lance son nouveau bootcamp Data Science pour former aux \n m\u00e9tiers de la Data Science<\/a>, nous cherchons \u00e0 appliquer les m\u00eames efforts de parit\u00e9 au sein de la communaut\u00e9 oeuvrant dans le secteur des donn\u00e9es. En 2020, l'agence de recrutement Burtch Works a constat\u00e9 que seulement \n 17% des data scientists \u00e9taient des femmes<\/a>. La question des in\u00e9galit\u00e9s commence \u00e0 l'universit\u00e9 et s'accro\u00eet avec la sp\u00e9cialisation, selon une r\u00e9cente \n \u00e9tude<\/a> men\u00e9e par le BCG.\n
\n
\n<\/div>\n
\n Pourtant, les femmes, quand elles s\u2019orientent vers une carri\u00e8re dans le domaine sont d\u2019excellentes scientifiques des donn\u00e9es. Comme l'explique \n Forbes<\/a>, \u00ables femmes sont plus sensibles au risque\u2026 en outre, les femmes ont tendance \u00e0 exceller dans la communication, le soutien d'\u00e9quipe et la r\u00e9solution de probl\u00e8mes (en interne et avec les clients), qui sont toutes des qualifications n\u00e9cessaires pour \u00eatre un CDO ou un chef d'\u00e9quipe solide dans le champ des donn\u00e9es. \u00bb Pourtant, le domaine que la \n Harvard Business Review <\/a>se vantait d'offrir le \u00abtravail le plus sexy du 21e si\u00e8cle\u00bb, perd 30% des candidats potentiels qualifi\u00e9s dans le processus de passage d'un dipl\u00f4me en STEM \u00e0 un professionnel de la science des donn\u00e9es.\n<\/div>\n
\n
\n<\/div>\n

Travailler ensemble pour le changement<\/h2>\n
\n Pour am\u00e9liorer ces chiffres tr\u00e8s peu encourageants, des groupes tels que Women in Machine Learning et Data Science\n (WiMLDS)<\/a> et Women in AI (\n WAI<\/a>) travaillent  pour promouvoir les femmes sur le terrain \u00e0 travers des conf\u00e9rences, des \u00e9v\u00e9nements, des hackathons et des ateliers. Partageant la mentalit\u00e9 globale du Wagon, WiMLDS g\u00e8re d\u00e9sormais plus de 30 chapitres \u00e0 travers le monde tandis que l'organisation WAI est pr\u00e9sente dans 115 pays. \n
\n
\n<\/div>\n
\n Unis par une vision commune de parit\u00e9 dans le domaine de la science des donn\u00e9es, nous avons collabor\u00e9 avec WiMLDS Montr\u00e9al et WAI Montr\u00e9al pour le lancement des \n Women\u2019s Data Days.

<\/strong>Les Women's Data Days sont des workshops d'une demi-journ\u00e9e dont le but est d'enseigner les bases de la programmation avec Python, un langage populaire en science des donn\u00e9es, ainsi que l'analyse de cas concrets \u00e0 l'aide d'ensembles de donn\u00e9es du monde r\u00e9el. C'est une belle l'opportunit\u00e9 pour se plonger dans la vie d'un analyste de donn\u00e9es. \n
\n
\n<\/div>\n
\n En construisant un r\u00e9seau ouvert et inclusif et en encourageant les femmes \u00e0 entrer dans la sph\u00e8re technologique gr\u00e2ce \u00e0 des cours d'introduction gratuits, nous pouvons cheminer vers un domaine plus diversifi\u00e9 et plus \u00e9quilibr\u00e9.\n<\/div>\n
\n
\n<\/div>\n

Regard vers l'avenir <\/h2>\n
\n Avec de nombreuses preuves que la diversit\u00e9 des genres g\u00e9n\u00e8re plus de revenus, stimule les performances des entreprises et cr\u00e9e des entreprises plus innovantes, encourager les femmes \u00e0 entrer et \u00e0 rester dans l'industrie technologique profite clairement \u00e0 toutes les parties. Gr\u00e2ce aux efforts actifs de toutes les entreprises en technologie, nous avons le pouvoir de cr\u00e9er un environnement inclusif, tout en fournissant les outils dont les femmes ont besoin pour prosp\u00e9rer et en favorisant non seulement leur succ\u00e8s, mais aussi celui de l'industrie de la technologie. \n<\/div>\n
\n
\n<\/div>","_contenu_de_larticle":null,"titre_de_la_banniere":null,"_titre_de_la_banniere":null,"paragraphe_de_la_banniere":null,"_paragraphe_de_la_banniere":null,"intitule_du_bouton_de_la_banniere":null,"_intitule_du_bouton_de_la_banniere":null,"lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"\nWe Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon<\/title>\n<meta name=\"description\" content=\"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon\" \/>\n<meta property=\"og:description\" content=\"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog Le Wagon\" \/>\n<meta property=\"article:published_time\" content=\"2020-08-24T22:00:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg\" \/>\n<meta name=\"author\" content=\"MickaelT\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon\" \/>\n<meta name=\"twitter:description\" content=\"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"MickaelT\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/\"},\"author\":{\"name\":\"MickaelT\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#\\\/schema\\\/person\\\/8b4567040d8a3520451362bb71ea09e6\"},\"headline\":\"We Need More Women in Data Science (and Our Plan to Get There!)\",\"datePublished\":\"2020-08-24T22:00:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/\"},\"wordCount\":13,\"publisher\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1\",\"keywords\":[\"Data\"],\"articleSection\":[\"Career\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/\",\"url\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/\",\"name\":\"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1\",\"datePublished\":\"2020-08-24T22:00:00+00:00\",\"description\":\"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#primaryimage\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1\",\"width\":2768,\"height\":1848},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/career\\\/women-in-data-science\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Career\",\"item\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/.\\\/career\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"We Need More Women in Data Science (and Our Plan to Get There!)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#website\",\"url\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/\",\"name\":\"Le Wagon\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#organization\",\"name\":\"Le Wagon\",\"url\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/02\\\/logo.svg\",\"contentUrl\":\"https:\\\/\\\/blog.lewagon.com\\\/wp-content\\\/uploads\\\/2023\\\/02\\\/logo.svg\",\"width\":172,\"height\":44,\"caption\":\"Le Wagon\"},\"image\":{\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/#\\\/schema\\\/person\\\/8b4567040d8a3520451362bb71ea09e6\",\"name\":\"MickaelT\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g\",\"caption\":\"MickaelT\"},\"sameAs\":[\"http:\\\/\\\/blog.lewagon.com\"],\"url\":\"https:\\\/\\\/blog.lewagon.com\\\/fr\\\/author\\\/mickaelt\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/","og_locale":"fr_FR","og_type":"article","og_title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","og_description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","og_url":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/","og_site_name":"Blog Le Wagon","article_published_time":"2020-08-24T22:00:00+00:00","og_image":[{"url":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg","type":"","width":"","height":""}],"author":"MickaelT","twitter_card":"summary_large_image","twitter_title":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","twitter_description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","twitter_image":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/03\/peh7mfhwccocm73ykyxzj5lvj9gx-scaled.jpeg","twitter_misc":{"\u00c9crit par":"MickaelT"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":["Article","BlogPosting"],"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#article","isPartOf":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/"},"author":{"name":"MickaelT","@id":"https:\/\/blog.lewagon.com\/fr\/#\/schema\/person\/8b4567040d8a3520451362bb71ea09e6"},"headline":"We Need More Women in Data Science (and Our Plan to Get There!)","datePublished":"2020-08-24T22:00:00+00:00","mainEntityOfPage":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/"},"wordCount":13,"publisher":{"@id":"https:\/\/blog.lewagon.com\/fr\/#organization"},"image":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/blog.lewagon.com\/wp-content\/uploads\/2023\/04\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1","keywords":["Data"],"articleSection":["Career"],"inLanguage":"fr-FR"},{"@type":"WebPage","@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/","url":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/","name":"We Need More Women in Data Science (and Our Plan to Get There!) | Le Wagon","isPartOf":{"@id":"https:\/\/blog.lewagon.com\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#primaryimage"},"image":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/blog.lewagon.com\/wp-content\/uploads\/2023\/04\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1","datePublished":"2020-08-24T22:00:00+00:00","description":"Malgr\u00e9 un consensus mondial sur la sous-repr\u00e9sentation des femmes en technologie et un besoin criant de changement, les statistiques d\u00e9montrent toujours une industrie domin\u00e9e par les hommes. En 2018, les femmes repr\u00e9sentaient plus de la moiti\u00e9 de la main-d'\u0153uvre, mais seulement 24% des emplois en technologie dans le monde (Honeypot).","breadcrumb":{"@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#primaryimage","url":"https:\/\/i0.wp.com\/blog.lewagon.com\/wp-content\/uploads\/2023\/04\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1","contentUrl":"https:\/\/i0.wp.com\/blog.lewagon.com\/wp-content\/uploads\/2023\/04\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1","width":2768,"height":1848},{"@type":"BreadcrumbList","@id":"https:\/\/blog.lewagon.com\/fr\/career\/women-in-data-science\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/blog.lewagon.com\/fr\/"},{"@type":"ListItem","position":2,"name":"Career","item":"https:\/\/blog.lewagon.com\/fr\/.\/career\/"},{"@type":"ListItem","position":3,"name":"We Need More Women in Data Science (and Our Plan to Get There!)"}]},{"@type":"WebSite","@id":"https:\/\/blog.lewagon.com\/fr\/#website","url":"https:\/\/blog.lewagon.com\/fr\/","name":"Le Wagon","description":"","publisher":{"@id":"https:\/\/blog.lewagon.com\/fr\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/blog.lewagon.com\/fr\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/blog.lewagon.com\/fr\/#organization","name":"Le Wagon","url":"https:\/\/blog.lewagon.com\/fr\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/blog.lewagon.com\/fr\/#\/schema\/logo\/image\/","url":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/02\/logo.svg","contentUrl":"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/02\/logo.svg","width":172,"height":44,"caption":"Le Wagon"},"image":{"@id":"https:\/\/blog.lewagon.com\/fr\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/blog.lewagon.com\/fr\/#\/schema\/person\/8b4567040d8a3520451362bb71ea09e6","name":"MickaelT","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/secure.gravatar.com\/avatar\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/627722b9f4aaa9f24735f9b8656525ab01111fb2c94de91dc70c9c1bffb90e7b?s=96&d=mm&r=g","caption":"MickaelT"},"sameAs":["http:\/\/blog.lewagon.com"],"url":"https:\/\/blog.lewagon.com\/fr\/author\/mickaelt\/"}]}},"jetpack_featured_media_url":"https:\/\/i0.wp.com\/blog.lewagon.com\/wp-content\/uploads\/2023\/04\/peh7mfhwccocm73ykyxzj5lvj9gx-6.jpeg?fit=2768%2C1848&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/posts\/218394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/comments?post=218394"}],"version-history":[{"count":0,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/posts\/218394\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/media\/218395"}],"wp:attachment":[{"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/media?parent=218394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/categories?post=218394"},{"taxonomy":"type_de_post","embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/type_de_post?post=218394"},{"taxonomy":"post-format","embeddable":true,"href":"https:\/\/blog.lewagon.com\/fr\/wp-json\/wp\/v2\/post-format?post=218394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}