Course in Data Mining, Machine Learning and Deep Learning

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Course in Data Mining, Machine Learning and Deep Learning

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$419.00
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Duration

200 hours

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Credits

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Language

Spanish

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

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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 Law RDU Digital; 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 Law Digital; 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 Law RDU Digital; 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 Law Digital; 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 information

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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 professionals in data analysis, computing and Business Intelligence who seek 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

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