Data Mining University Microcredential + 3 Credits

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Data Mining University Microcredential + 3 Credits

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$89,00
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135 hours

Duration

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  • Spanish

Language

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3 CR

Credits

Agenda

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Cloister

Specialized teaching staff

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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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Microcredentials

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Skills demanded by the labor market quickly.

Facilitates employability or sectoral change at low cost.

With international recognition

Frequently asked questions

Description

In the digital age, data mining is positioned as an essential skill, driving the ability to transform vast data sets into valuable business opportunities. The Data Mining Microcredential offers a gateway to this dynamic world, where labor demand continues to grow. Through this course, you will acquire skills in machine learning, artificial intelligence and natural language processing, using tools such as WEKA and Python. You will learn to extract, classify and group data, perfecting your skills in clustering, machine learning and deep learning. This knowledge will allow you to stand out in sectors that look for professionals capable of interpreting data to make strategic decisions. The online modality offers you flexibility to learn at your own pace, allowing you to balance your studies with other responsibilities. Join this exciting adventure and prepare for the future of data analysis.

Job opportunities

- Data analyst in technological sectors - Specialist in machine learning for companies - Artificial intelligence consultant - Developer of natural language processing solutions - Expert in data clustering and classification - Neural networks and deep learning engineer in startups - Data scientist in innovation projects

What does it prepare you for?

This course prepares you to develop practical skills in data mining, applying machine learning techniques and using tools such as WEKA. You will learn how to implement artificial intelligence models and natural language processing (NLP) with Python. Additionally, you will become familiar with clustering to extract data structure and explore machine learning principles, including neural networks and deep learning, to effectively classify and analyze information.

Who is it addressed to?

The Data Mining Microcredential course is aimed at professionals and graduates in the sector interested in expanding their knowledge in key areas such as data mining, machine learning and neural networks. With a practical approach, tools such as WEKA and languages ​​such as Python for natural language processing are addressed, as well as clustering and classification techniques. Ideal for those looking to update themselves in artificial intelligence and machine learning.

Objectives

- Understand the basic principles of data mining and its effective application. - Use WEKA to perform data analysis and obtain meaningful results. - Become familiar with the fundamental concepts of artificial intelligence. - Explore Natural Language Processing techniques in Python. - Apply machine learning algorithms to solve real problems. - Implement clustering techniques for the extraction of data structures. - Differentiate classification methods and their use in data projects.

Data Mining University Microcredential + 3 Credits

$89,00