Global Certificate in NLP for Business Analytics
-- viendo ahoraThe Global Certificate in NLP for Business Analytics is a crucial course designed to meet the growing industry demand for professionals with Natural Language Processing (NLP) skills. This certification equips learners with essential skills to analyze and interpret complex data in the business world.
2.575+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
Acerca de este curso
HundredPercentOnline
LearnFromAnywhere
ShareableCertificate
AddToLinkedIn
TwoMonthsToComplete
AtTwoThreeHoursAWeek
StartAnytime
Sin período de espera
Detalles del Curso
Here are the essential units for a Global Certificate in NLP for Business Analytics:
• Natural Language Processing (NLP) Fundamentals: This unit will cover the basics of NLP, including text processing, tokenization, part-of-speech tagging, and named entity recognition. It will also introduce NLP applications in business analytics.
• Sentiment Analysis: This unit will focus on the use of NLP to extract subjective information from text data, such as opinions, appraisals, and emotions. Participants will learn how to use sentiment analysis techniques for brand monitoring, product feedback, and customer service.
• Topic Modeling: This unit will cover unsupervised learning techniques for discovering hidden thematic structures in text data, such as Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF). Participants will learn how to use topic modeling for identifying trends, patterns, and insights in business data.
• Text Classification: This unit will focus on supervised learning techniques for categorizing text data into predefined classes, such as Naive Bayes, Support Vector Machines (SVMs), and deep learning models. Participants will learn how to use text classification for document tagging, spam filtering, and churn prediction.
• Information Extraction: This unit will cover techniques for extracting structured information from unstructured text data, such as Named Entity Recognition (NER), Relation Extraction (RE), and Dependency Parsing. Participants will learn how to use information extraction for knowledge graphs, entity linking, and semantic search.
• Text Summarization: This unit will focus on techniques for generating concise summaries of long text documents, such as extractive and abstractive summarization. Participants will learn how to use text summarization for content curation, report generation, and decision making.
• Conversational AI: This unit will cover the use of NLP for building chatbots, voice assistants, and other conversational interfaces. Participants will
Trayectoria Profesional
Requisitos de Entrada
- Comprensión básica de la materia
- Competencia en idioma inglés
- Acceso a computadora e internet
- Habilidades básicas de computadora
- Dedicación para completar el curso
No se requieren calificaciones formales previas. El curso está diseñado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prácticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una institución autorizada
- Complementario a las calificaciones formales
Recibirás un certificado de finalización al completar exitosamente el curso.
Por qué la gente nos elige para su carrera
Cargando reseñas...
Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripción abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripción abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
Obtener información del curso
Obtener un certificado de carrera
