Data Mining University Microcredential + 3 Credits Data Mining University Microcredential + 3 Credits

Online Training

Data Mining University Microcredential + 3 Credits

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135 hours

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3CR

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Spanish

Educational institutions

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Data Mining University Microcredential + 3 Credits

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

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.

Content

Career 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 it prepares 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.

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.

Methodology

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.

Certificación

Data Mining Microcredential Degree with 135 hours and 3 Credits issued by UNIMIAMI
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Diploma certificado

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