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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$419.00
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Enroll in this course and get all the advantages of MyLXP technology

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Duration

200 hours

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Credits

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Language

Spanish

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Phia Integrated

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Agenda

Credit your success

At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Course Title in Data Mining, Machine Learning and Deep Learning with 200 hours issued by Structuralia

+25 years

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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More than 200K students from all over the world maintain contact with Structuralia. Join it

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Meet Phia, the AI that will boost your training in this course

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The training you deserve

We have scholarships and facilities to finance your training. Request information and we will evaluate your case.

Scholarships of up to 50%

Scholarships available

+500

specialized courses in Structuralia

Large companies support us in the Industry, Energy and Environment sector

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Cloister

Learn from the best in your sector

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josé antonio rubio blanco

PhD in Computer Engineering, Master in ICT Management and Director of Security by the Ministry of the Interior. He holds 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 councils. advisors and strategic bodies linked to digital trust and artificial intelligence. He combines this activity with specialized dissemination and participation in the media.

Teaching experience:

Associate Professor - Universidad Complutense de Madrid. Advisor and lecturer 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 Critical Infrastructures and Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the field of vehicles; Member of the Advisory Council — ISACA Madrid; Board Member of Editorial — Privacy and Digital Law of RDU; Member of Commissions — Spanish Association of Telecommunications and Information Society Users; Co-presenter — Program En la Ciberguarida, Cadena SER Comunidad de Madrid; President — Spanish Association of Digital Trust and 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 Regulation on Artificial Intelligence in Spain; Member of the Data Working Group stewardship — Higher Council of Statistics; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Forum on Digital Trust. Publications: Member of the Editorial Board of the journal Privacy and Digital Law; Contributing Editor of the magazine CSO Spain.

Professional skills:

Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; IT service governance and management; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation.

Merits:

Technology Innovation Award — Sun Microsystems; Prize in the field of essay — Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.

PhD in Computer Engineering, Master in ICT Management and Director of Security by the Ministry of the Interior. He holds 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 councils. advisors and strategic bodies linked to digital trust and artificial intelligence. He combines this activity with specialized dissemination and participation in the media.

Teaching experience:

Associate Professor - Universidad Complutense de Madrid. Advisor and lecturer 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 Critical Infrastructures and Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the field of vehicles; Member of the Advisory Council — ISACA Madrid; Board Member of Editorial — Privacy and Digital Law of RDU; Member of Commissions — Spanish Association of Telecommunications and Information Society Users; Co-presenter — Program En la Ciberguarida, Cadena SER Comunidad de Madrid; President — Spanish Association of Digital Trust and 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 Regulation on Artificial Intelligence in Spain; Member of the Data Working Group stewardship — Higher Council of Statistics; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Forum on Digital Trust. Publications: Member of the Editorial Board of the journal Privacy and Digital Law; Contributing Editor of the magazine CSO Spain.

Professional skills:

Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; IT service governance and management; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation.

Merits:

Technology Innovation Award — Sun Microsystems; Prize 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).

Course in Data Mining, Machine Learning and Deep Learning

Información adicional del Online COURSE

Course in Data Mining, Machine Learning and Deep Learning

6 months 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

Specialization in advanced predictive analysis and deep learning techniques positions you as a benchmark in the artificial intelligence and data analysis sector. You will consolidate your profile as a Data Science Specialist, taking on more complex projects and leading strategic initiatives in technology or consulting companies. It will allow you to work as a Machine Learning Engineer, designing and implementing innovative solutions that optimize business processes and develop new products. Likewise, you will differentiate yourself as an Advanced Data Analyst, capable of extracting strategic value from large volumes of information for decision making. This domain will allow you to lead data mining projects and contribute your experience in the application of predictive and prescriptive models, consolidating yourself as a key asset in any organization.

What does it prepare you for?

This program prepares you to master advanced Machine Learning techniques and data pattern extraction. You will learn how to implement supervised and unsupervised machine learning algorithms using Python, the reference language in the data science sector. You will deeply analyze complex data sets, extracting valuable conclusions and transforming them into actionable intelligence. You will design innovative solutions by applying deep learning techniques to real cases, solving strategic problems. Additionally, you'll optimize the presentation of your analyzes through strategic data visualizations, ensuring your findings drive informed decisions. It will equip you with the skills to implement predictive models that optimize strategic decision making.

Who is it addressed to?

Aimed at data analysis, computing and Business Intelligence professionals seeking advanced specialization in predictive modeling techniques. If you already work as a business analyst, data engineer or developer, and need to delve deeper into extracting knowledge from data for making strategic decisions, this course is for you. It is also ideal for researchers and enthusiasts with prior knowledge who want to master the most powerful analytical tools. It will allow you to overcome superficial analyses, enhancing your ability to extract strategic intelligence and present results with impact, differentiating yourself in your sector.

Objectives

• Master key supervised and unsupervised learning algorithms, identifying their optimal application. • Implement data analysis solutions using Python as the main tool. • Deeply analyze complex data sets to draw strategic conclusions. • Design effective visualizations that communicate impactful analysis results. • Solve complex cases by applying advanced machine learning and deep learning techniques. • Optimize business decision making through the interpretation of predictive models. • Evaluate the suitability of different machine learning models for specific sector problems.

Course in Data Mining, Machine Learning and Deep Learning

$419.00