Data Mining Course + 8 ECTS Credits

UNIVERSITY COURSE 100% On-line

Data Mining Course + 8 ECTS Credits

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$303.00
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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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No limit

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Agenda

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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 Qualification in Data Mining with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

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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).

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Course information

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Course information

Description

The increasing amount of data that a company manages due to the rise of new technologies and the use of social networks has generated a demand for professionals who exploit this data with the aim of helping to make strategic decisions. Through data mining, the knowledge necessary for decision-making can be generated, allowing the discovery of hidden patterns and making predictions about the behavior of the data. With this Data Mining Course you will be able to develop the necessary techniques to apply data mining and will obtain the analytical skills necessary to extract and evaluate data in an effective way. We offer a learning environment where the student is the protagonist, supported by specialist tutors in the sector.

Job opportunities

We can understand a wide range of possibilities in terms of different sectors. In the information age, understanding it and obtaining a correct interpretation of it is a clear advantage. This advantage wants to be taken advantage of by any company. That is why, thanks to the Data Mining course, the type of professional profile is able to fit and take advantage of so many options.

What does it prepare you for?

This Data Mining course prepares you to understand the concepts, techniques and tools used in data mining. You will learn to apply algorithms and data analysis methods to discover patterns, trends and relationships hidden in large volumes of information. Skills are developed such as the preparation and exploration of data, the selection and use of mining techniques and the interpretation of the results.

Who is it addressed to?

This Data Mining course is aimed at people interested in acquiring skills and knowledge in the field of data mining. This includes IT professionals, data scientists and analysts, computer science students, and anyone interested in understanding how to extract valuable insights from large data sets.

Objectives

- Learn the Data Mining models and techniques applied in a Big Data environment - Know the main statistical analysis algorithms used in a Big Data environment - Acquire the necessary knowledge for distributed data processing in Hadoop - Apply graph theory to social network analysis - Use Data Mining tools such as Weka Learn to program Data Mining algorithms in R.

Data Mining Course + 8 ECTS Credits

$303.00

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