AI University Microcredential for Data Sciences in Education + 1 Credit

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AI University Microcredential for Data Sciences in Education + 1 Credit

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$29,00
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45 hours

Duration

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  • Spanish

Language

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1 CR

Credits

Agenda

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Cloister

Specialized teaching staff

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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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Frequently asked questions

Description

Education is undergoing an unprecedented transformation thanks to artificial intelligence and data science. In this context, the AI ​​course for Data Sciences in Education is presented as a unique opportunity for you to enter a booming sector, where job demand is growing and the opportunities are unlimited. Through this course, you will acquire essential skills in the collection, analysis and visualization of educational data, learning to apply predictive modeling to improve teaching and learning processes. Ethics in educational data science will also be a key topic, ensuring your training is aligned with best practice. Upon completion, you will be prepared to contribute effectively to educational innovation, becoming a valuable professional in a field that increasingly needs experts like you. Don't miss this opportunity to make a difference!

Job opportunities

- Educational data analyst - Data scientist in educational institutions - Specialist in educational data visualization - Consultant in data ethics in education - Developer of predictive models for learning - Researcher in AI applications in education - Trainer in educational data analysis techniques - Responsible for data analysis projects in schools and universities

What does it prepare you for?

The AI ​​for Data Sciences in Education course prepares you to apply advanced techniques that optimize educational processes. You will learn how to collect and analyze educational data, as well as how to visualize it effectively. You will learn the fundamentals of predictive modeling and its evaluation, which will allow you to anticipate needs and improve decision-making in the educational field. Upon completion, you will be trained to implement data-driven solutions that transform education and promote more personalized and effective learning.

Who is it addressed to?

The AI ​​for Data Science in Education course is aimed at professionals and graduates in the educational and technological field who wish to update their knowledge in data science. Through hands-on training, participants will learn to collect, analyze and visualize educational data, as well as apply predictive modeling techniques to optimize educational processes and improve decision making. This course is an ideal opportunity for those seeking to enrich their professional profile without needing to have an advanced level.

Objectives

Apply advanced data science techniques to improve educational processes

AI University Microcredential for Data Sciences in Education + 1 Credit

$29,00