{"id":574,"date":"2025-10-05T18:16:10","date_gmt":"2025-10-05T18:16:10","guid":{"rendered":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/?page_id=574"},"modified":"2025-10-05T18:49:14","modified_gmt":"2025-10-05T18:49:14","slug":"egi-smart-analytics-lab-2025","status":"publish","type":"page","link":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/egi-smart-analytics-lab-2025\/","title":{"rendered":"EGI Smart Analytics Lab 2025"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Instructions for Hands-On Exercises<\/h1>\n\n\n\n<p>In the 2025 edition of the Smart Analytics for Industry 4.0 course, you must perform <strong>four<\/strong> hands-on exercises.&nbsp;<\/p>\n\n\n\n<p>You can work alone or in&nbsp;<mark>groups of 3-4 people. The more people in the group, the higher the quality of the answers expected to be (complete, sound, and&nbsp;<\/mark>with critical thinking applied to your discussion).&nbsp;&nbsp;<\/p>\n\n\n\n<p>In the following lines, the specifications:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What is required to be produced by you\/your team?&nbsp;<\/li>\n\n\n\n<li>How to prepare them?<\/li>\n\n\n\n<li>What and when to hand in?<\/li>\n<\/ul>\n\n\n\n<p><strong>This work is 40% of the grade of the ICT: Big Data part of the course by Genoveva Vargas-Solar<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work to do<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">2.1 Exercise 1: Data labs comparison, the case of Kaggle and Colab Data Collections Management Facilities<\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\"><strong>Deadline 30th October 2025 23:55<\/strong><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">2.2 Exercise 2 Characterising the V features of Data Collections<\/h3>\n\n\n\n<p>Instructions can be found <a href=\"http:\/\/vargas-solar.com\/data-centric-smart-everything\/data-collection-campaign-building-a-smell-cartography\/\" data-type=\"page\" data-id=\"494\"><strong>here<\/strong><\/a><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><strong>Deadline 10th October 2025 23:55<\/strong><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2.3 Exercise 3 Dataset quantitative profile and cleaning: The tabular data structure and its operators<\/strong><\/h3>\n\n\n\n<p>Description of the tasks of the exercise [<a href=\"http:\/\/vargas-solar.com\/data-centric-smart-everything\/ho-1-bis-exploring-datasets-getting-acquainted-with-tables-manipulation\/\">HO-1Bis<\/a>]<\/p>\n\n\n\n<p><strong>To hand in<\/strong>: Share a notebook from Kaggle (no PDFs or other types of documents will be accepted), including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The whole set of instructions (<strong>run<\/strong>)<\/li>\n\n\n\n<li>At the end of the bottom of the exercise notebook\n<ul class=\"wp-block-list\">\n<li><strong>Insert three markdown cells with the interpretations of the results,<\/strong>&nbsp;explaining to which extent the results answer the research question.<\/li>\n\n\n\n<li>A mind map (JPEG\/PNG figure) associated with each family of operations that can be applied to a table (discussed in class) and the corresponding Python instructions that implement them. Use a markdown cell to insert your figure.<\/li>\n\n\n\n<li>The pipeline (JPEG\/PNG figure) describes the logic flow implemented in the notebook for answering the research question (which steps implemented in the notebook lead to an answer to the research question?). Use a markdown cell to insert your figure.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>N.B. To draw the figures, use a tool like Google Draw or draw the figures by hand and take a photo. Ensure the quality is good so that a human can read and understand.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><strong>Deadline 14th October 23:55<\/strong><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">2.4 Analysing Mobility in the City<\/h3>\n\n\n\n<p>The exercise can be found <strong><a href=\"https:\/\/gist.github.com\/gevargas\/fe9c512f6b268282be329aff210b0d20\">here<\/a><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Analyse<\/strong>, <strong>run and understand EVERY step<\/strong> of the analysis. <\/li>\n\n\n\n<li>Answer the questionnaire proposed at the end in a separate document <\/li>\n\n\n\n<li>Hand in a PDF document with your answers<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Instructions for Hands-On Exercises In the 2025 edition of the Smart Analytics for Industry 4.0 course, you must perform four hands-on exercises.&nbsp; You can work alone or in&nbsp;groups of 3-4 people. The more people in the group, the higher the quality of the answers expected to be (complete, sound, and&nbsp;with critical thinking applied to your [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-574","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/pages\/574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/comments?post=574"}],"version-history":[{"count":3,"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/pages\/574\/revisions"}],"predecessor-version":[{"id":580,"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/pages\/574\/revisions\/580"}],"wp:attachment":[{"href":"http:\/\/vargas-solar.com\/data-centric-smart-everything\/wp-json\/wp\/v2\/media?parent=574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}