{"id":14744,"date":"2024-07-01T09:52:20","date_gmt":"2024-07-01T07:52:20","guid":{"rendered":"https:\/\/u-paris.fr\/doctorat\/?p=14744"},"modified":"2026-10-14T13:20:14","modified_gmt":"2026-10-14T11:20:14","slug":"applied-data-analytics","status":"publish","type":"post","link":"https:\/\/u-paris.fr\/doctorat\/applied-data-analytics\/","title":{"rendered":"Applied Data Analytics"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb3.22&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][et_pb_row custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_margin=\u00a0\u00bb-60px||\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; background_size=\u00a0\u00bbinitial\u00a0\u00bb background_position=\u00a0\u00bbtop_left\u00a0\u00bb background_repeat=\u00a0\u00bbrepeat\u00a0\u00bb][et_pb_column type=\u00a0\u00bb3_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_post_title meta=\u00a0\u00bboff\u00a0\u00bb featured_image=\u00a0\u00bboff\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_post_title][\/et_pb_column][et_pb_column type=\u00a0\u00bb1_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_divider color=\u00a0\u00bbrgba(0,0,0,0)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-14px||\u00a0\u00bb][\/et_pb_divider][et_pb_search exclude_pages=\u00a0\u00bboff\u00a0\u00bb exclude_posts=\u00a0\u00bboff\u00a0\u00bb show_button=\u00a0\u00bboff\u00a0\u00bb placeholder=\u00a0\u00bbRechercher une formation\u00a0\u00bb module_id=\u00a0\u00bbsearch_formation\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; border_radii=\u00a0\u00bbon|30px|30px|30px|30px\u00a0\u00bb text_orientation=\u00a0\u00bbcenter\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_search][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u00a0\u00bb1&Prime; specialty=\u00a0\u00bbon\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-30px||\u00a0\u00bb][et_pb_column type=\u00a0\u00bb3_4&Prime; specialty_columns=\u00a0\u00bb3&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_row_inner custom_padding=\u00a0\u00bb25px|||||\u00a0\u00bb admin_label=\u00a0\u00bbLigne\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; min_height=\u00a0\u00bb942px\u00a0\u00bb custom_margin=\u00a0\u00bb-47px||\u00a0\u00bb][et_pb_column_inner type=\u00a0\u00bb4_4&Prime; saved_specialty_column_type=\u00a0\u00bb3_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_text admin_label=\u00a0\u00bbTitre %22r\u00e9sum\u00e9%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>R\u00e9sum\u00e9 de la formation<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbR\u00e9sum\u00e9\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h3><strong>Learning Outcomes<\/p>\n<p><\/strong><\/h3>\n<p>This course provides essential techniques, methodologies, and practical skills needed to extract meaningful insights from data. Throughout this course, you will learn basics skills in Machine Learning and Data Preparation.<br \/>It is designed for a diverse range of doctoral students from various faculties at the UPCit\u00e9. Key topics covered in the course include:<\/p>\n<ul>\n<li>Data Science<\/li>\n<li>Data Analytics<\/li>\n<li>Machine Learning<\/li>\n<li>Deep Learning<\/li>\n<li>Data Mining\n<\/li>\n<\/ul>\n<h3><strong>Format of lectures<\/strong><\/h3>\n<p>The course will take place over a dedicated week in the fall, running from Monday to Friday in the mornings, from 10:00 AM to 13:00 PM, totalling approximately 15 hours. Instruction will be delivered through a combination of slides, Google Colab exercises, and questionnaires. On the final day, students will have the opportunity to present the analysis challenges related to their theses.<br \/>The course will be conducted via Zoom.<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=\u00a0\u00bbhttps:\/\/amethis.app.u-pariscite.fr\/amethis-client\/formation\/gestion\/formation\/5571&Prime; url_new_window=\u00a0\u00bbon\u00a0\u00bb button_text=\u00a0\u00bbApply\u00a0\u00bb button_alignment=\u00a0\u00bbleft\u00a0\u00bb disabled_on=\u00a0\u00bboff|off|off\u00a0\u00bb admin_label=\u00a0\u00bbBouton inscription\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_button=\u00a0\u00bbon\u00a0\u00bb button_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb button_bg_color=\u00a0\u00bb#8a1538&Prime; button_border_width=\u00a0\u00bb2px\u00a0\u00bb button_border_color=\u00a0\u00bb#8a1538&Prime; button_border_radius=\u00a0\u00bb26&Prime; button_icon=\u00a0\u00bb%%20%%\u00a0\u00bb button_icon_color=\u00a0\u00bb#ffffff\u00a0\u00bb button_on_hover=\u00a0\u00bboff\u00a0\u00bb background_layout=\u00a0\u00bbdark\u00a0\u00bb custom_margin=\u00a0\u00bb0px||50px|||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; custom_css_after=\u00a0\u00bbmargin-left: 0!important;||\u00a0\u00bb saved_tabs=\u00a0\u00bball\u00a0\u00bb background_layout__hover_enabled=\u00a0\u00bbon\u00a0\u00bb background_layout__hover=\u00a0\u00bblight\u00a0\u00bb button_bg_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_bg_color__hover=\u00a0\u00bb#ffffff\u00a0\u00bb button_icon_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_icon_color__hover=\u00a0\u00bb#8a1538&Prime; button_text_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_text_color__hover=\u00a0\u00bb#8a1538&Prime; custom_css_after__hover_enabled=\u00a0\u00bbon\u00a0\u00bb custom_css_after__hover=\u00a0\u00bbmargin-left: 0!important;\u00a0\u00bb button_border_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_button][et_pb_text admin_label=\u00a0\u00bbTitre %22programme%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Programme<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbProgramme\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4><strong>Program overview<\/strong><\/h4>\n<ul>\n<li>The <a href=\"https:\/\/cloud.u-paris.fr\/s\/DfsCKsQpzX9Bqij\">detailed program and syllabus<\/a><\/li>\n<\/ul>\n<table width=\"602\">\n<tbody>\n<tr>\n<td width=\"117\">\n<p><strong>Monday <\/strong><\/p>\n<p><strong>14\/12\/26<\/strong><\/p>\n<\/td>\n<td width=\"120\">\n<p><strong>Tuesday <\/strong><\/p>\n<p><strong>15\/12\/26<\/strong><\/p>\n<\/td>\n<td width=\"122\"><strong>Wednesday 16\/12\/26<\/strong><\/td>\n<td width=\"121\"><strong>Thursday 17\/12\/26<\/strong><\/td>\n<td width=\"121\">\n<p><strong>Friday <\/strong><\/p>\n<p><strong>18\/12\/26<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"117\">\n<p>10h00-11h20<\/p>\n<p><strong>Introduction<br \/>Objective of the course<\/strong><\/p>\n<\/td>\n<td width=\"120\">\n<p>10h00-11h20<\/p>\n<p><strong>Classic supervised Learning<\/strong><\/p>\n<\/td>\n<td width=\"122\">\n<p>10h00-11h20<\/p>\n<p><strong>Classic Supervised Learning <\/strong><\/p>\n<p><strong>Regression<\/strong><\/p>\n<\/td>\n<td width=\"121\">\n<p>10h00-11h20<\/p>\n<p><strong>Neural Networks<\/strong><\/p>\n<\/td>\n<td width=\"121\">\n<p>10h00-11h20<\/p>\n<p><strong>Unsupervised Learning &amp; Generative Models<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"117\">\n<p><em>11h20-11h30 Break and<\/em><\/p>\n<p><em>Poll \u2615<\/em><\/p>\n<\/td>\n<td width=\"120\">\n<p><em>11h20-11h30 Break and <\/em><\/p>\n<p><em>Poll \u2615<\/em><\/p>\n<\/td>\n<td width=\"122\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll <\/em>\u2615<\/p>\n<\/td>\n<td width=\"121\">\n<p><em>11h20-11h30<\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll <\/em>\u2615<\/p>\n<\/td>\n<td width=\"121\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll\u00a0 <\/em>\u2615<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"117\">\n<p>11h30-13h00<\/p>\n<p><strong>Data preparation<\/strong><\/p>\n<\/td>\n<td width=\"120\">\n<p>11h30-13h00<\/p>\n<p><strong>Classic supervised Classification<\/strong><\/p>\n<\/td>\n<td width=\"122\">\n<p>11h30-13h00<\/p>\n<p><strong>Notebooks<\/strong><\/p>\n<\/td>\n<td width=\"121\">\n<p>11h30-13h00<\/p>\n<p><strong>Deep Learning<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td width=\"121\">\n<p>11h30-13h00<\/p>\n<p><strong>Students present their data analysis challenges<\/strong><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbTitre %22formateurs%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Formateurs et formatrices<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbFormateurs\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<p>Educational contact: <a href=\"mailto:yvonne.becherini@u-paris.fr\">Yvonne Becherini<\/a><\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbTitre %22infos pratiques%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Informations pratiques<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbInfos pratiques\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h3><strong>Practical Information<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p><strong>Dates :<\/strong> Starting on the 14th of December until the 18th December 2026<br \/>From 10 a.m to 1p.m<\/p>\n<p>-\u2192 This training takes place online via Zoom. The link will be send to you directly by the trainer.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Rules of Attendance<\/strong><\/h3>\n<p>-\u2192 This course takes 15 hours.<\/p>\n<p>-\u2192 Attendance is mandatory for at least 4 days of training.<\/p>\n<p><strong>You will get credited :<\/strong><\/p>\n<ul>\n<li>Attendance for 5 days: 15 hours of training<\/li>\n<li>Attendance for 4 days: 12 hours of training<\/li>\n<li>Attendance under 4 days: no hours of training will be credited<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][et_pb_column type=\u00a0\u00bb1_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_post_title title=\u00a0\u00bboff\u00a0\u00bb author=\u00a0\u00bboff\u00a0\u00bb date=\u00a0\u00bboff\u00a0\u00bb comments=\u00a0\u00bboff\u00a0\u00bb featured_image=\u00a0\u00bboff\u00a0\u00bb text_color=\u00a0\u00bblight\u00a0\u00bb text_background=\u00a0\u00bbon\u00a0\u00bb text_bg_color=\u00a0\u00bb#8a1538&Prime; module_id=\u00a0\u00bbtitre_categorie\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; meta_font=\u00a0\u00bb|600|||||||\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_margin=\u00a0\u00bb-10px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_post_title][et_pb_text admin_label=\u00a0\u00bbPublic\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Public<\/h4>\n<h5>Ph.D Students<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbDur\u00e9e\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Duration<\/h4>\n<h5>5 days \/ 15 hours<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbLangue\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Language<\/h4>\n<h5>English<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbFormat\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Format<\/h4>\n<h5>Online<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbCode\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Code<\/h4>\n<h5>DF26ONADA<\/h5>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=\u00a0\u00bb1&Prime; module_class=\u00a0\u00bbautres_formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb60px|||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][et_pb_row module_id=\u00a0\u00bbautres_formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_text admin_label=\u00a0\u00bbAutres formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Formations dans la m\u00eame cat\u00e9gorie<\/h3>\n<p>[\/et_pb_text][et_pb_blog posts_number=\u00a0\u00bb8&Prime; include_categories=\u00a0\u00bb16,128,130&Prime; show_thumbnail=\u00a0\u00bboff\u00a0\u00bb show_author=\u00a0\u00bboff\u00a0\u00bb show_date=\u00a0\u00bboff\u00a0\u00bb show_categories=\u00a0\u00bboff\u00a0\u00bb admin_label=\u00a0\u00bbBlog &#8211; saisir la cat\u00e9gorie\u00a0\u00bb module_id=\u00a0\u00bbpage_type_blog\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; 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