Course in Data Mining, Machine Learning and Deep Learning

Online COURSE 100% On-line

Course in Data Mining, Machine Learning and Deep Learning

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$419.00
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Duration

200 hours

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Credits

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Language

English

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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

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millions of students around the world

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Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

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Learn from the best in your sector

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ana belen salinas lozano

Graduate in Primary Education and Graduate in Psychopedagogy, with more than 20 years of experience in the non-regulated training sector. He has developed his career in the management and delivery of subsidized training, Vocational Training for Employment, professionalism certificates, training linked to program contracts and private training, both in person and online. His profile combines teaching experience and training management capacity in different contexts and program types.

Teaching experience:

Teacher in non-regulated training: Provision of subsidized training; Provision of Vocational Training for Employment; Provision of professional certificates; Delivery of training contracts program; Private training provision; In-person and online mode.

Professional experience:

Management of non-regulated training programs: Organization and coordination of training actions; Subsidized training management; Management of Vocational Training for Employment programs; Management of professional certificates; Management of training contracts, program and private training.

Professional skills:

Comprehensive management of subsidized training; Coordination of Vocational Training for Employment; Design and delivery of professional certificates; Training in person and online.

Graduate in Primary Education and Graduate in Psychopedagogy, with more than 20 years of experience in the non-regulated training sector. He has developed his career in the management and delivery of subsidized training, Vocational Training for Employment, professionalism certificates, training linked to program contracts and private training, both in person and online. His profile combines teaching experience and training management capacity in different contexts and program types.

Teaching experience:

Teacher in non-regulated training: Provision of subsidized training; Provision of Vocational Training for Employment; Provision of professional certificates; Delivery of training contracts program; Private training provision; In-person and online mode.

Professional experience:

Management of non-regulated training programs: Organization and coordination of training actions; Subsidized training management; Management of Vocational Training for Employment programs; Management of professional certificates; Management of training contracts, program and private training.

Professional skills:

Comprehensive management of subsidized training; Coordination of Vocational Training for Employment; Design and delivery of professional certificates; Training in person and online.

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andrea carolina rojas zuluaga

Graduated in Early Childhood Education, with a Master in Culture of Peace, Conflicts, Education and Human Rights and a Master in Psychopedagogical Intervention. He develops his work as a teacher at the Faculty of Teaching of Educa Edtech Group. She has experience as an early childhood educator and as a manager of educational projects, integrating pedagogical approaches linked to psycho-pedagogical intervention, education in values ​​and the promotion of educational environments based on the culture of peace.

Teaching experience:

Teacher — Educa Edtech Group: Development of training activities in the Faculty of Teaching.

Professional experience:

Children's educator. Educational project manager.

Professional skills:

Psychopedagogical intervention; early childhood education; Educational project management; Education in culture of peace and human rights.

Languages:

English B2.

Graduated in Early Childhood Education, with a Master in Culture of Peace, Conflicts, Education and Human Rights and a Master in Psychopedagogical Intervention. He develops his work as a teacher at the Faculty of Teaching of Educa Edtech Group. She has experience as an early childhood educator and as a manager of educational projects, integrating pedagogical approaches linked to psycho-pedagogical intervention, education in values ​​and the promotion of educational environments based on the culture of peace.

Teaching experience:

Teacher — Educa Edtech Group: Development of training activities in the Faculty of Teaching.

Professional experience:

Children's educator. Educational project manager.

Professional skills:

Psychopedagogical intervention; early childhood education; Educational project management; Education in culture of peace and human rights.

Languages:

English B2.

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Course information

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Course information

Description
"At the forefront of technology, the Data Mining, Machine Learning, and Deep Learning course trains participants with supervised and unsupervised machine learning algorithms using Python. Breaking down crucial topics into four units, students delve into supervised learning, deciphering patterns and relationships in data, and unsupervised learning, where they uncover hidden structures within data sets. The final unit elevates their skills through Deep Learning, expanding analytical capabilities. and significant conclusions. This course is a fundamental link for those seeking to handle data with experience and delve deeper into machine learning."

Job opportunities

This course prepares you to explore and apply supervised and unsupervised learning algorithms, using Python to manage and analyze data sets. You will acquire skills to interpret data and draw relevant conclusions, covering topics ranging from supervised learning to advanced deep learning techniques.

What does it prepare you for?

This course prepares you to explore and apply supervised and unsupervised learning algorithms, using Python to manage and analyze data sets. You will acquire skills to interpret data and draw relevant conclusions, covering topics ranging from supervised learning to advanced deep learning techniques.

Who is it addressed to?

This course is aimed at IT professionals, data analysts, and technology enthusiasts seeking to understand and apply supervised and unsupervised learning algorithms. With a hands-on approach, participants will learn to analyze data sets and draw conclusions with Python, ranging from the fundamentals of supervised learning to advanced deep learning techniques. Ideal for those looking to strengthen their analytical and technical skills in data mining and machine learning.

Objectives

- Know the most used supervised and unsupervised learning algorithms - Be able to work with supervised and unsupervised learning algorithms using Python - Be able to analyze data sets and draw conclusions from them

Course in Data Mining, Machine Learning and Deep Learning

$419.00

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