Global Certificate in Machine Learning for Educators: Predictive Analytics
-- viendo ahoraThe Global Certificate in Machine Learning for Educators: Predictive Analytics is a crucial course designed to meet the skyrocketing industry demand for machine learning expertise. This certificate program empowers educators by equipping them with essential skills to leverage predictive analytics in teaching and learning.
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Detalles del Curso
โข Introduction to Machine Learning · Defining key terms, understanding the basics of machine learning, identifying its applications in education.
โข Data Preparation for Predictive Analytics · Data collection, cleaning, preprocessing, and feature engineering.
โข Regression Analysis in Machine Learning · Simple and multiple linear regression, logistic regression, and their applications.
โข Classification Algorithms · Decision trees, random forests, support vector machines, and k-nearest neighbors.
โข Unsupervised Learning for Predictive Analytics · Clustering, dimensionality reduction, and association rule mining.
โข Model Evaluation · Understanding metrics like accuracy, precision, recall, F1-score, ROC curves, and cross-validation.
โข Machine Learning Tools · Hands-on experience with popular tools like Python, R, and Tableau.
โข Ethics in Machine Learning · Understanding the ethical implications of using predictive analytics in education.
โข Implementing Machine Learning in the Classroom · Real-world examples and best practices for implementing machine learning in the classroom.
โข Capstone Project · Designing, implementing, and presenting a machine learning project in the context of education.
Trayectoria Profesional
Requisitos de Entrada
- Comprensiรณn bรกsica de la materia
- Competencia en idioma inglรฉs
- Acceso a computadora e internet
- Habilidades bรกsicas de computadora
- Dedicaciรณn para completar el curso
No se requieren calificaciones formales previas. El curso estรก diseรฑado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prรกcticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una instituciรณn autorizada
- Complementario a las calificaciones formales
Recibirรกs un certificado de finalizaciรณn al completar exitosamente el curso.
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Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripciรณn abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripciรณn abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
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