{"id":4204,"date":"2026-01-16T10:13:58","date_gmt":"2026-01-16T10:13:58","guid":{"rendered":"https:\/\/devserver.admin.uoc.gr\/damsl\/?page_id=4204"},"modified":"2026-01-16T10:16:12","modified_gmt":"2026-01-16T10:16:12","slug":"damsl-100-introduction-to-data-science","status":"publish","type":"page","link":"https:\/\/mscs.uoc.gr\/damsl\/damsl-100-introduction-to-data-science\/","title":{"rendered":"DAMSL-100 Introduction to Data Science"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4204\" class=\"elementor elementor-4204\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-47e7b33 e-flex e-con-boxed e-con e-parent\" data-id=\"47e7b33\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2c87900 e-con-full e-flex e-con e-child\" data-id=\"2c87900\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-63fb3b4 elementor-widget elementor-widget-text-editor\" data-id=\"63fb3b4\" 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\t\t<p><strong style=\"font-size: 22px;\">Type<\/strong><\/p><p><strong style=\"font-size: 16px;\">Core<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6ff4fab e-con-full e-flex e-con e-child\" data-id=\"6ff4fab\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cbbdc33 elementor-widget elementor-widget-text-editor\" data-id=\"cbbdc33\" 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\t\t<p><strong style=\"font-size: 22px;\">Course Code<\/strong><\/p><p><strong style=\"font-size: 16px;\">DAMSL-100<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4728792 e-con-full e-flex e-con e-child\" data-id=\"4728792\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e4dd7f1 elementor-widget elementor-widget-text-editor\" data-id=\"e4dd7f1\" 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\t\t<p><strong style=\"font-size: 22px;\">Teaching Semester<\/strong><\/p><p><strong style=\"font-size: 16px;\">B semester<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-74b417e e-con-full e-flex e-con e-child\" data-id=\"74b417e\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c4e7ca8 elementor-widget elementor-widget-text-editor\" data-id=\"c4e7ca8\" 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\t\t<p><strong style=\"font-size: 22px;\">ECTS Credits<\/strong><\/p><p><strong style=\"font-size: 16px;\">10<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\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-aea9e47 e-flex e-con-boxed e-con e-parent\" data-id=\"aea9e47\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ca881e9 e-grid e-con-full e-con e-child\" data-id=\"ca881e9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8169c04 elementor-widget elementor-widget-text-editor\" data-id=\"8169c04\" 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\t\t<div class=\"et_pb_module et_pb_text et_pb_text_5_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-field \"><h6>Student Performance Evaluation<\/h6><p>Homework and\/or Lab Assignments, Final Exam and\/or Project<\/p><\/div><\/div><\/div><div class=\"et_pb_module et_pb_text et_pb_text_6_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-field \"><h6>Prerequisite Courses<\/h6><p>Linear Algebra I, Probabilities<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\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-ca0c741 e-flex e-con-boxed e-con e-parent\" data-id=\"ca0c741\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6f13111 e-grid e-con-full e-con e-child\" data-id=\"6f13111\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6361eff elementor-widget elementor-widget-text-editor\" data-id=\"6361eff\" 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\t\t<div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_1_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \"><h6><span style=\"text-decoration: underline;\">Syllabus<\/span><\/h6><ul><li>Sampling data<\/li><li>Statistical learning<\/li><li>Linear regression<\/li><li>Classification<\/li><li>Resampling methods<\/li><li>Linear model selection and regularization<\/li><li>Beyond linearity<\/li><li>Tree-based methods<\/li><li>Survival analysis and censored data<\/li><li>Unsupervised learning<\/li><\/ul><\/div><\/div><\/div><div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_2_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \">\u00a0<\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-caa1dca elementor-widget elementor-widget-text-editor\" data-id=\"caa1dca\" 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\t\t<h6><span style=\"text-decoration: underline;\">Learning Outcomes<\/span><\/h6><div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_2_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \"><p>Upon completion of the course the students will be able to:<i><\/i><\/p><ul><li>To understand the basic ideas and concepts in Data Science<\/li><\/ul><ul><li>Comprehend basic sampling methods<\/li><\/ul><ul><li>Conduct basic data analysis<\/li><\/ul><ul><li>Know the basic regression and classification algorithms<\/li><\/ul><ul><li>Know survival analysis<\/li><\/ul><ul><li>Know basic unsupervised learning methods<\/li><\/ul><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\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-396be16 e-flex e-con-boxed e-con e-parent\" data-id=\"396be16\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-93f3c11 elementor-widget elementor-widget-spacer\" data-id=\"93f3c11\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\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>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Type Core Course Code DAMSL-100 Teaching Semester B semester ECTS Credits 10 Student Performance Evaluation Homework and\/or Lab Assignments, Final Exam and\/or Project Prerequisite Courses Linear Algebra I, Probabilities Syllabus Sampling data Statistical learning Linear regression Classification Resampling methods Linear model selection and regularization Beyond linearity Tree-based methods Survival analysis and censored data Unsupervised learning \u00a0 Learning Outcomes Upon completion of the course the students will be able to: To understand the basic ideas and concepts in Data Science Comprehend basic sampling methods Conduct basic data analysis Know the basic regression and classification algorithms Know survival analysis Know basic unsupervised learning methods<\/p>\n","protected":false},"author":194,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-4204","page","type-page","status-publish","hentry","post-no-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/users\/194"}],"replies":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/comments?post=4204"}],"version-history":[{"count":4,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4204\/revisions"}],"predecessor-version":[{"id":4211,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4204\/revisions\/4211"}],"wp:attachment":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/media?parent=4204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}