{"id":4287,"date":"2026-01-29T10:48:45","date_gmt":"2026-01-29T09:48:45","guid":{"rendered":"https:\/\/u-paris.fr\/linguistique\/?page_id=4287"},"modified":"2026-07-08T14:05:30","modified_gmt":"2026-07-08T12:05:30","slug":"m1s1-python-for-data-analysis","status":"publish","type":"page","link":"https:\/\/u-paris.fr\/linguistique\/en\/m1s1-python-for-data-analysis\/","title":{"rendered":"Python for Data Analysis (Master S1 Class)"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime;][et_pb_row _builder_version=\u00a0\u00bb3.22.1&Prime;][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime;][et_pb_post_title meta=\u00a0\u00bboff\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime;][\/et_pb_post_title][et_pb_text _builder_version=\u00a0\u00bb3.22.1&Prime;]<\/p>\n<h4>Basic information<\/h4>\n<ul>\n<li>Credits: 3<\/li>\n<li>Format: 2 hours weekly<\/li>\n<li>2026-2027 instructors: <a href=\"https:\/\/pages.llf-paris.fr\/~gwisniewski\/\" target=\"_blank\" rel=\"noopener noreferrer\">Guillaume Wisniewski<\/a><\/li>\n<li>2026-2027 schedule: Thursdays, 13:30-15:30, room 153<\/li>\n<li><a href=\"https:\/\/moodle.u-pariscite.fr\/course\/view.php?id=43723\" target=\"_blank\" rel=\"noopener noreferrer\">Moodle page<\/a><\/li>\n<\/ul>\n<h4>Description<\/h4>\n<p>This hands-on course is designed to strengthen students\u2019 programming skills while equipping them with the essential tools and techniques needed to process and analyze large datasets, including extensive text corpora. Students will gain comprehensive expertise in Python\u2019s data science ecosystem, with a primary focus on the pandas library\u2014widely regarded as the cornerstone for data analysis in Python. The course will cover foundational concepts, such as data cleaning, manipulation, and exploration, as well as advanced techniques, including multi-indexing, group-by operations, and performance optimization for handling large-scale datasets.<br \/>In addition to pandas, the course will introduce students to key libraries for data visualization, including seaborn, plotly, and D3, enabling them to create compelling and insightful plots. Students will also gain practical experience with scikit-learn, one of the most popular libraries for machine learning. By the end of the course, participants will be equipped to tackle complex data analysis challenges, transforming raw data into actionable insights and effective visualizations.<\/p>\n<p>&nbsp;<\/p>\n<h4>Learning outcomes<\/h4>\n<p>On successful completion of this course, students should:<\/p>\n<ul>\n<li>tackle complex data analysis challenges, transforming raw data into actionable insights and effective visualizations<\/li>\n<li>have an advanced knowledge of the python ecosystem for data science<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Basic information Credits: 3 Format: 2 hours weekly 2026-2027 instructors: Guillaume Wisniewski 2026-2027 schedule: Thursdays, 13:30-15:30, room 153 Moodle page Description This hands-on course is designed to strengthen students\u2019 programming skills while equipping them with the essential tools and techniques needed to process and analyze large datasets, including extensive text corpora. Students will gain comprehensive&hellip; <a class=\"continue\" href=\"https:\/\/u-paris.fr\/linguistique\/en\/m1s1-python-for-data-analysis\/\">Lire la suite<span> Python for Data Analysis (Master S1 Class)<\/span><\/a><\/p>\n","protected":false},"author":609,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"coauthors":[114],"class_list":["post-4287","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/users\/609"}],"replies":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/comments?post=4287"}],"version-history":[{"count":4,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4287\/revisions"}],"predecessor-version":[{"id":6999,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4287\/revisions\/6999"}],"wp:attachment":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/media?parent=4287"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/coauthors?post=4287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}