{"id":46,"date":"2021-01-28T18:32:33","date_gmt":"2021-01-28T17:32:33","guid":{"rendered":"http:\/\/blog.uclm.es\/tp-mbsba\/?page_id=46"},"modified":"2026-02-16T11:40:03","modified_gmt":"2026-02-16T11:40:03","slug":"programas","status":"publish","type":"page","link":"https:\/\/blog.uclm.es\/tp-mbsba\/programas\/","title":{"rendered":"Plan modular de contenidos"},"content":{"rendered":"<p><!-- TARJETAS --><\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:5px;justify-content:center;width:100%\">\n<p><!-- CURSO 1 --><\/p>\n<div style=\"flex:1 1 100%;background:#f9f9f9;box-shadow:0 6px 12px #5562f3;border-radius:12px;padding:16px;display:flex;gap:20px;align-items:flex-start;max-width:1200px;margin:0 auto\">\n  <img decoding=\"async\" src=\"https:\/\/blog.uclm.es\/tp-mbsba\/wp-content\/uploads\/sites\/176\/2026\/01\/programa1.png\" style=\"width:150px;height:150px;object-fit:cover;border-radius:12px\"><\/p>\n<div style=\"font-size:15px;line-height:1.4;flex:1\">\n<div style=\"color:#5562f3;font-weight:800;font-size:20px;margin-bottom:6px\">M\u00e1ster de Formaci\u00f3n Permanente<\/div>\n<p>    \ud83d\udcca <strong>Data Science &amp; Business Analytics<\/strong><br \/>(con R software)<\/p>\n<p>    <a href=\"https:\/\/blog.uclm.es\/tp-mbsba\/modulo-a\/\" target=\"_blank\" rel=\"noreferrer noopener\" style=\"font-weight:600;color:#7A1E2E\">\u2192 Ver programa<\/a>\n  <\/div>\n<\/div>\n<p><!-- TARJETAS --><\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:20px;justify-content:center\">\n<p>  <!-- PRIMERA FILA: CURSO 2 (centrado) --><\/p>\n<div style=\"flex:0 0 60%;max-width:600px;background:#f9f9f9;box-shadow:0 6px 12px #5562f3;border-radius:12px;padding:12px;display:flex;gap:12px;align-items:flex-start;margin:0 auto\">\n    <img decoding=\"async\" src=\"https:\/\/blog.uclm.es\/tp-mbsba\/wp-content\/uploads\/sites\/176\/2026\/01\/programa2.png\" style=\"width:90px;height:90px;object-fit:cover;border-radius:12px\"><\/p>\n<div style=\"font-size:16px;line-height:1.3;flex:1\">\n<div style=\"color:#5562f3;font-weight:700;margin-bottom:4px\">Curso de Experto<\/div>\n<p>      \ud83d\udcbb Modeling &amp; Data Mining<br \/>(con R software)<\/p>\n<p>      <a href=\"https:\/\/blog.uclm.es\/tp-mbsba\/moduelo-b\/\" target=\"_blank\" rel=\"noreferrer noopener\" style=\"font-weight:600;color:#7A1E2E\">\u2192 Ver programa<\/a>\n    <\/div>\n<\/p><\/div>\n<p>  <!-- SEGUNDA FILA: CURSO 3 y CURSO 4 --><\/p>\n<div style=\"flex:0 0 48%;background:#f9f9f9;box-shadow:0 6px 12px #5562f3;border-radius:12px;padding:12px;display:flex;gap:12px;align-items:flex-start\">\n    <img decoding=\"async\" src=\"https:\/\/blog.uclm.es\/tp-mbsba\/wp-content\/uploads\/sites\/176\/2026\/01\/programa3.png\" style=\"width:90px;height:90px;object-fit:cover;border-radius:12px\"><\/p>\n<div style=\"font-size:16px;line-height:1.3;flex:1\">\n<div style=\"color:#5562f3;font-weight:700;margin-bottom:4px\">Curso Univ. Formaci\u00f3n Avanzada<\/div>\n<p>      \ud83d\udcc8 Modelizaci\u00f3n Estad\u00edstica y Miner\u00eda de Datos<br \/>(con R software)<\/p>\n<p>      <a href=\"https:\/\/blog.uclm.es\/tp-mbsba\/modulo-d\/\" target=\"_blank\" rel=\"noreferrer noopener\" style=\"font-weight:600;color:#7A1E2E\">\u2192 Ver programa<\/a>\n    <\/div>\n<\/p><\/div>\n<div style=\"flex:0 0 48%;background:#f9f9f9;box-shadow:0 6px 12px #5562f3;border-radius:12px;padding:12px;display:flex;gap:12px;align-items:flex-start\">\n    <img decoding=\"async\" src=\"https:\/\/blog.uclm.es\/tp-mbsba\/wp-content\/uploads\/sites\/176\/2026\/01\/programa4.png\" style=\"width:90px;height:90px;object-fit:cover;border-radius:12px\"><\/p>\n<div style=\"font-size:16px;line-height:1.3;flex:1\">\n<div style=\"color:#5562f3;font-weight:700;margin-bottom:4px\">Curso Univ. Formaci\u00f3n Avanzada<\/div>\n<p>      \ud83e\udd16 T\u00e9cnicas Estad\u00edsticas Avanzadas<br \/>e Inteligencia Artificial<\/p>\n<p>      <a href=\"https:\/\/blog.uclm.es\/tp-mbsba\/modulo-c\/\" target=\"_blank\" rel=\"noreferrer noopener\" style=\"font-weight:600;color:#7A1E2E\">\u2192 Ver programa<\/a>\n    <\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<p><!-- PROGRAMA --><\/p>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo I: Introducci\u00f3n a la ciencia de datos<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Masterclass inaugural<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo II: Software estad\u00edstico R<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>R y su entorno<\/li>\n<li>Tratamiento de datos<\/li>\n<li>An\u00e1lisis exploratorio de datos<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo III: Arquitectura de datos y tecnolog\u00edas <em>big data<\/em><\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Introducci\u00f3n<\/li>\n<li>Calidad y gobierno de datos<\/li>\n<li>Bases de datos relacionales<\/li>\n<li>Bases de datos NoSQL<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo IV: Fundamentos de estad\u00edstica<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Modelos probabil\u00edsticos<\/li>\n<li>Fundamentos de estad\u00edstica inferencial<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo V: Modelizaci\u00f3n estad\u00edstica<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Modelizaci\u00f3n lineal<\/li>\n<li>Modelos lineales generalizados<\/li>\n<li>Modelos aditivos generalizados<\/li>\n<li>Modelos mixtos<\/li>\n<li>Series temporales<\/li>\n<li>Validaci\u00f3n de modelos. <em>Feature engineering<\/em><\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo VI: <em>Data mining<\/em> b\u00e1sico<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Instrumentos y t\u00e9cnicas de la estad\u00edstica moderna<\/li>\n<li><em>Storytelling<\/em> y visualizaci\u00f3n de datos<\/li>\n<li>Clasificaci\u00f3n y discriminaci\u00f3n<\/li>\n<li>Reducci\u00f3n de la dimensionalidad<\/li>\n<li>An\u00e1lisis de la varianza<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo VII: <em>Data mining<\/em> avanzado<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>An\u00e1lisis de tablas de contingencia<\/li>\n<li>An\u00e1lisis de correspondencias<\/li>\n<li>Modelos <em>sparse<\/em> y m\u00e9todos penalizados de regresi\u00f3n<\/li>\n<li><em>Random Forest<\/em><\/li>\n<li><em>Boosting<\/em><\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo VIII: Estad\u00edstica espacial y espacio-temporal<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Visualizaci\u00f3n y geolocalizaci\u00f3n de datos<\/li>\n<li>Procesos puntuales<\/li>\n<li>Modelos econom\u00e9tricos espaciales<\/li>\n<li>Geoestad\u00edstica espacial y espacio-temporal<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo IX: Inteligencia artificial<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Introducci\u00f3n a la inteligencia artificial<\/li>\n<li><em>Machine learning<\/em>: aprendizaje supervisado<\/li>\n<li><em>Machine learning<\/em>: aprendizaje no supervisado<\/li>\n<li>Aplicaciones del <em>deep learning<\/em><\/li>\n<li>Redes neuronales artificiales<\/li>\n<li>Redes neuronales convolucionales<\/li>\n<li>An\u00e1lisis de grafos y redes sociales<\/li>\n<li>An\u00e1lisis de datos no estructurados: miner\u00eda de textos<\/li>\n<li>Masterclass<\/li>\n<\/ul>\n<\/details>\n<\/div>\n<div style=\"margin-bottom: 1rem;border-radius: 6px\">\n<details style=\"background: #ffcccc;border-left: 5px solid #ffff00;border-radius: 6px;padding: 0.75rem 1rem\">\n<summary style=\"cursor: pointer;font-weight: 600;color: #7a0019\">M\u00f3dulo X: Trabajo Fin de M\u00e1ster<\/summary>\n<ul style=\"margin-top: 0.75rem;margin-left: 2rem;padding-left: 1rem;border-left: 2px padding-top: 0.25rem\">\n<li>Preparaci\u00f3n del Trabajo Fin de M\u00e1ster<\/li>\n<li>Trabajo guiado<\/li>\n<\/ul>\n<\/details>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>M\u00e1ster de Formaci\u00f3n Permanente \ud83d\udcca Data Science &amp; Business Analytics(con R software) \u2192 Ver programa Curso de Experto \ud83d\udcbb Modeling &amp; Data Mining(con R software) \u2192 Ver programa Curso Univ. Formaci\u00f3n Avanzada \ud83d\udcc8 Modelizaci\u00f3n Estad\u00edstica y Miner\u00eda de Datos(con R software) \u2192 Ver programa Curso Univ. Formaci\u00f3n Avanzada \ud83e\udd16 T\u00e9cnicas Estad\u00edsticas Avanzadase Inteligencia Artificial \u2192 &hellip; <a href=\"https:\/\/blog.uclm.es\/tp-mbsba\/programas\/\" class=\"more-link\">Sigue leyendo <span class=\"screen-reader-text\">Plan modular de contenidos<\/span><\/a><\/p>\n","protected":false},"author":183,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-46","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/pages\/46","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/users\/183"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":127,"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/pages\/46\/revisions"}],"predecessor-version":[{"id":2390,"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/pages\/46\/revisions\/2390"}],"wp:attachment":[{"href":"https:\/\/blog.uclm.es\/tp-mbsba\/wp-json\/wp\/v2\/media?parent=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}