Course in Data Mining, Machine Learning and Deep Learning

Online COURSE 100% On-line

Course in Data Mining, Machine Learning and Deep Learning

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$433.00
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Enroll in this course and get all the advantages of MyLXP technology

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Duration

200 horas

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Credits

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Language

Spanish

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Phia Integrated

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Agenda

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Título de Curso en Data Mining, Machine Learning y Deep Learning con 200 horas expedido por Structuralia

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Reference in the sector. Recognition guarantee.

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In-person training with global impact

An international postgraduate degree taught in Madrid is available at the end of 2026

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Cloister

Learn from the best in your sector

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josé antonio rubio blanco

Doctor of Computer Engineering, Master in ICT Management and Director of Security from the Ministry of the Interior. It has international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in advisory councils and strategic bodies linked to digital trust and artificial intelligence. Combine this activity with specialized dissemination and participation in the media. Teaching experience: Associate Professor - Complutense University of Madrid. Advisor and teacher at various business schools. Professional experience: National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Infrastructure and Critical Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the vehicle field; Member of the Advisory Board — ISACA Madrid; Member of the Editorial Board - Privacy and Digital Law of RDU; Member of Commissions - Spanish Association of Telecommunications and Information Society Users; Co-presenter — En la Ciberguarida Program, Cadena SER Comunidad de Madrid; President — Spanish Association of Trust and Digital Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts - National Cybersecurity Strategy of Spain; Member of the Committee of Experts - Sandboxing project of the European Artificial Intelligence Regulation in Spain; Member of the Working Group on data stewardship — Higher Statistics Council; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Digital Trust Forum. Publications: Member of the Editorial Board of the magazine Privacy and Digital Law; Contributing Editor of CSO Spain magazine. Professional skills: Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; Governance and management of IT services; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation. Merits: Award in technological innovation — Sun Microsystems; Award in the field of essay - Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.

Doctor of Computer Engineering, Master in ICT Management and Director of Security from the Ministry of the Interior. It has international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in advisory councils and strategic bodies linked to digital trust and artificial intelligence. Combine this activity with specialized dissemination and participation in the media. Teaching experience: Associate Professor - Complutense University of Madrid. Advisor and teacher at various business schools. Professional experience: National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Infrastructure and Critical Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the vehicle field; Member of the Advisory Board — ISACA Madrid; Member of the Editorial Board - Privacy and Digital Law of RDU; Member of Commissions - Spanish Association of Telecommunications and Information Society Users; Co-presenter — En la Ciberguarida Program, Cadena SER Comunidad de Madrid; President — Spanish Association of Trust and Digital Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts - National Cybersecurity Strategy of Spain; Member of the Committee of Experts - Sandboxing project of the European Artificial Intelligence Regulation in Spain; Member of the Working Group on data stewardship — Higher Statistics Council; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Digital Trust Forum. Publications: Member of the Editorial Board of the magazine Privacy and Digital Law; Contributing Editor of CSO Spain magazine. Professional skills: Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; Governance and management of IT services; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation. Merits: Award in technological innovation — Sun Microsystems; Award in the field of essay - Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.
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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training. Professional experience: More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training. Professional skills: ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training. Professional experience: More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training. Professional skills: ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Course in Data Mining, Machine Learning and Deep Learning

Información adicional del Online COURSE

Course in Data Mining, Machine Learning and Deep Learning

6 meses de tutorización

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Course information

Description
The Advanced Course in Data Mining, Machine Learning and Deep Learning is the essential specialization for data analysis professionals seeking to master the most current analytical tools. This program delves into supervised and unsupervised learning algorithms, exploring their practical applications for extracting knowledge from data. You will delve into advanced Deep Learning techniques, mastering its implementation with Python, the reference language in the field of Data Science. You will master the distillation of large volumes of data into actionable intelligence, transforming raw information into strategic insights. You will design presentations of results with impact, using clear and persuasive visualizations. You will analyze real applications that are transforming various industries, from process optimization to trend prediction. This course integrates analysis and visualization so that you make data-driven decisions, aligned with contemporary professional scenarios. Specialization in extracting value from information will differentiate you in the sector.

Job opportunities

La especialización en técnicas avanzadas de análisis predictivo y aprendizaje profundo te posiciona como un referente en el sector de la inteligencia artificial y el análisis de datos. Consolidarás tu perfil como Especialista en Ciencia de Datos, asumiendo proyectos de mayor complejidad y liderando iniciativas estratégicas en empresas tecnológicas o consultoras. Te permitirá desempeñarte como Ingeniero en Machine Learning, diseñando e implementando soluciones innovadoras que optimicen procesos de negocio y desarrollen nuevos productos. Asimismo, te diferenciarás como Analista de Datos Avanzado, capaz de extraer valor estratégico de grandes volúmenes de información para la toma de decisiones. Este dominio te permitirá liderar proyectos de minería de datos y aportar tu experiencia en la aplicación de modelos predictivos y prescriptivos, consolidándote como un activo clave en cualquier organización.

What does it prepare you for?

Este programa te prepara para dominar las técnicas avanzadas de Machine Learning y la extracción de patrones de datos. Aprenderás a implementar algoritmos de aprendizaje automático supervisado y no supervisado utilizando Python, el lenguaje de referencia en el sector de la ciencia de datos. Analizarás en profundidad conjuntos de datos complejos, extrayendo conclusiones valiosas y transformándolas en inteligencia accionable. Diseñarás soluciones innovadoras aplicando técnicas de aprendizaje profundo a casos reales, resolviendo problemas estratégicos. Además, optimizarás la presentación de tus análisis mediante visualizaciones de datos estratégicas, asegurando que tus hallazgos impulsen decisiones informadas. Te dotará de las habilidades para implementar modelos predictivos que optimicen la toma de decisiones estratégicas.

Who is it addressed to?

Dirigido a profesionales del análisis de datos, la informática y el Business Intelligence que buscan una especialización avanzada en técnicas de modelado predictivo. Si ya te desempeñas como analista de negocio, ingeniero de datos o desarrollador, y necesitas profundizar en la extracción de conocimiento de datos para la toma de decisiones estratégicas, este curso es para ti. También es ideal para investigadores y entusiastas con conocimientos previos que desean dominar las herramientas analíticas más potentes. Te permitirá superar los análisis superficiales, potenciando tu capacidad para extraer inteligencia estratégica y presentar resultados con impacto, diferenciándote en tu sector.

Objectives

• Dominar los algoritmos clave de aprendizaje supervisado y no supervisado, identificando su aplicación óptima. • Implementar soluciones de análisis de datos utilizando Python como herramienta principal. • Analizar en profundidad conjuntos de datos complejos para extraer conclusiones estratégicas. • Diseñar visualizaciones efectivas que comuniquen resultados de análisis con impacto. • Resolver casos complejos aplicando técnicas avanzadas de aprendizaje automático y aprendizaje profundo. • Optimizar la toma de decisiones empresariales mediante la interpretación de modelos predictivos. • Evaluar la idoneidad de diferentes modelos de aprendizaje automático para problemas específicos del sector.

Course in Data Mining, Machine Learning and Deep Learning

$433.00