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

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

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$427.00
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Duration

200 hours

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Credits

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Language

English

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Learn from the best in your sector

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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).

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

Información adicional del Online COURSE

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

6 months de tutorización

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Course information

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Course information

Description

In today's efficiency-oriented business landscape, the Lean Management approach is essential. This course demystifies key concepts, equipping students with a complete understanding of Lean philosophy. Delve into the fundamentals, explore effective leadership styles adapted to Lean environments, and understand the art of leading cohesive teams toward continuous improvement. Participants will learn to apply basic Lean techniques and recognize their impact in various sectors. You will finish with a reflection on Lean applications, prepared to foster a culture of excellence in any organizational environment. Take advantage of this path to lay the foundations for a path versed in Lean Management.

Job opportunities

Graduates of the Lean Management course, with solid training in Lean fundamentals, leadership and techniques, are prepared to improve production and service systems. Suitable for managing teams and leading efficiency projects, they will find opportunities in manufacturing, logistics, consulting and more. Leverage the course's Lean application skills to excel at the forefront of modern operational management.

What does it prepare you for?

This course provides you with a solid foundation in Lean Management, focusing on essential principles and methodologies. You will delve into key concepts and components, learn about effective leadership styles, and understand team dynamics in Lean environments. By exploring fundamental techniques, you will be able to recognize how various industries benefit from the Lean approach. Gain knowledge to drive efficiency in different work environments.

Who is it addressed to?

Our Lean Management course is designed for professionals from various sectors who want to delve deeper into the essence of improving efficiency. Participants will learn the key principles of Lean, understand the dynamics of Lean teams, and understand the leadership styles that support a Lean environment. The curriculum ranges from fundamental theory to practical Lean techniques and industry-specific applications, equipping students with the essential tools for implementation.

Objectives

Implementation of supervised learning algorithms. Implementation of unsupervised learning algorithms. Implementation of supervised and unsupervised learning algorithms using machine learning and deep learning tools and libraries. Data analysis and modeling. Preparation of reports. Development of interactive panels. Through the practices of this course, the student will be able to implement machine learning and deep learning algorithms through data analysis, reporting and algorithm interrelation analysis, with a clear and intuitive understanding of each concept. Finally, the student must work with a real application and apply all the theoretical and practical knowledge acquired to solve a machine learning problem.

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

$427.00