Course on Practical Applications of Machine Learning, Deep Learning and Data Science

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Course on Practical Applications of Machine Learning, Deep Learning and Data Science

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$427.00
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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 Practical Applications of Machine Learning, Deep Learning and Data Science 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 Practical Applications of Machine Learning, Deep Learning and Data Science Course is an advanced specialization for professionals in the technology, financial or health sectors who seek to update and specialize their skills in the implementation of algorithms and data analysis. This program offers you a strategic deepening in these essential disciplines, fundamental for technological innovation. By thoroughly exploring algorithms in Python and using specialized tools, you will gain the ability to effectively implement deep and machine learning solutions, spanning both supervised and unsupervised models. You will develop critical analysis and data modeling, enabling you to create insightful reports and interactive dashboards, all powered by PowerBI. Your training culminates with the development of real applications, where you will integrate theory with practice to address complex challenges in the sector. This course elevates your essential competencies through practical exercises and applied projects, establishing the foundations to drive advanced solutions and lead artificial intelligence projects.

Job opportunities

Your specialization in Machine Learning, Deep Learning and Data Science will position you as a reference in the technological, financial and health sectors. You will be able to establish yourself in high-demand roles such as Artificial Intelligence Specialist, Machine Learning Solutions Architect or Senior Data Scientist. You will lead AI projects, from conception to implementation of advanced algorithms in Python. Your mastery of PowerBI data analysis and visualization will allow you to design interactive dashboards and generate strategic reports. You will develop real applications that solve complex challenges, providing differential value to your organization. This prepares you to assume responsibilities that require deep technical expertise and strategic vision in data-driven environments, driving innovation in your company.

What does it prepare you for?

This program prepares you to master the practical application of artificial intelligence, differentiating you from more general profiles. You will specialize in the implementation of advanced algorithms for the development of artificial intelligence solutions. You will implement machine and deep learning algorithms with Python, addressing both supervised and unsupervised models. You will develop expert capacity in applied data science, analyzing and visualizing complex information to extract strategic insights. You will design and build real applications, integrating your knowledge to solve specific business problems. You'll create insightful reports and interactive dashboards with PowerBI, transforming data into informed decisions. You will position yourself as a specialist capable of leading technological innovation and data-based decision making.

Who is it addressed to?

This program is aimed at professionals in the technology, financial and health sectors seeking advanced specialization in artificial intelligence. If you already have a foundation in advanced data analysis or software development and want to deepen your knowledge in machine learning and neural networks, this is your path. It is ideal for those who work with Python and aspire to master the implementation of advanced algorithms, both supervised and unsupervised, and for those who want to take their data analysis and visualization skills to an expert level, creating interactive reports and dashboards with PowerBI. It will allow you to differentiate yourself and tackle more complex projects.

Objectives

• Master the implementation of machine learning algorithms in Python and its specific libraries. • Implement deep learning algorithms with Python, using advanced tools and libraries. • Analyze complex data sets in depth, applying data science techniques. • Design and create interactive data visualizations and dashboards with PowerBI. • Solve complex practical cases by applying supervised learning algorithms. • Develop unsupervised learning solutions, managing its tools and libraries. • Build real applications that integrate machine learning, deep learning and data science.

Course on Practical Applications of Machine Learning, Deep Learning and Data Science

$427.00

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