Advanced Certificate in Predictive Support with Text Analytics
-- viendo ahoraThe Advanced Certificate in Predictive Support with Text Analytics is a comprehensive course designed to equip learners with the essential skills required in today's data-driven world. This certificate course focuses on predictive support and text analytics, two critical areas that are in high industry demand.
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Detalles del Curso
โข Advanced Predictive Analytics: This unit covers advanced techniques and models in predictive analytics, including regression analysis, time series analysis, and machine learning algorithms.
โข Text Preprocessing: This unit focuses on text preprocessing techniques, such as tokenization, stemming, lemmatization, and stop word removal, to prepare text data for analysis.
โข Natural Language Processing (NLP): This unit explores the fundamentals of NLP, including part-of-speech tagging, named entity recognition, and sentiment analysis, and how to apply them to text analytics.
โข Supervised Learning with Text Data: This unit covers supervised learning techniques for text analytics, including Naive Bayes, Support Vector Machines, and Logistic Regression.
โข Unsupervised Learning with Text Data: This unit explores unsupervised learning techniques for text analytics, including clustering, topic modeling, and dimensionality reduction.
โข Deep Learning for Text Analytics: This unit delves into deep learning techniques, including Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Convolutional Neural Networks (CNNs), for text analytics.
โข Predictive Support: This unit focuses on how to apply predictive analytics and text analytics to provide predictive support in various industries and domains.
โข Evaluation Metrics for Predictive Models: This unit covers the evaluation metrics for predictive models, including accuracy, precision, recall, F1 score, ROC curve, and AUC.
โข Ethical Considerations in Predictive Analytics: This unit explores the ethical considerations in predictive analytics, including data privacy, bias, and fairness.
โข Advanced Topics in Predictive Analytics: This unit covers advanced topics in predictive analytics, including anomaly detection, recommendation systems, and network analysis.
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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