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Leire Ahedo

Este proyecto es un curso práctico y efectivo para aprender acerca del Procesamiento Natural del Lenguaje, centrándote en la parte de Topic Modelling. Aprenderas a como analizar tus textos mediante Python y Pycaret. También aprenderás a añadir capacidades de NLP a tus dashboards en Power BI.

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What's inside

Syllabus

Procesamiento del lenguaje natural con Python y Power BI
En este curso se aprenderás todo lo necesario acerca de PNL con Pycaret y Power BI

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Es un curso práctico y efectivo para aprender sobre el modelado de temas mediante el Procesamiento Natural del Lenguaje, que utilizan Python y Pycaret
Es creado por Leire Ahedo, instructor en el área de Procesamiento Natural del Lenguaje
Permite aprender todo lo necesario sobre Procesamiento Natural del Lenguaje con Pycaret y Power BI, herramientas reconocidas en la industria
Enseña habilidades y conocimientos altamente relevantes para el análisis de textos y la extracción de información
Incluye ejercicios prácticos y recursos interactivos que complementan el aprendizaje

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Reviews summary

Natural language processing with python and power bi

This NLP with Python and Power BI course is highly rated by students with 3 out of 5 reviewers giving it a perfect 5-star rating. Students felt that it was a valuable course for getting started with topic modelling, but some noted that PyCaret's NLP module is no longer available in the latest version of the software. Most learners found that the course objectives were clearly explained and easy to follow.
Helpful for getting started with NLP.
"Me fué muy útil para iniciarme en el conecimiento"
Simple and clear.
"Sencillo y claro"
PyCaret's NLP module is no longer available.
"Es una buena forma de empezar, para tener una idea general está estupendo."
"Sencillo y claro, lo único es que el módulo pycaret.nlp ya no existe en la nueva versión de pycaret.Es una buena forma de empezar, para tener una idea general está estupendo."
Virtual machine was buggy and out-of-date.
"Muy desactualizado, la máquina virtual se traba o se congela"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Procesamiento del lenguaje natural con Python y Power BI with these activities:
Repasa conceptos básicos de álgebra lineal
Refresca tu conocimiento de los conceptos fundamentales del álgebra lineal, como matrices, vectores y descomposición de valores singulares, para mejorar tu comprensión de los algoritmos de modelado de temas.
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  • Revisa tus notas de álgebra lineal o toma un curso de repaso en línea.
  • Practica resolviendo problemas y ejercicios.
Organiza y revisa tus notas y materiales del curso
Mejora tu preparación manteniendo tus notas y materiales del curso organizados y revisándolos periódicamente para reforzar tu aprendizaje.
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  • Crea un sistema de carpetas para almacenar tus notas y materiales de manera organizada.
  • Resume y organiza las notas clave en un cuaderno o documento digital.
Sigue tutoriales sobre modelado de temas
Complementa tu comprensión teórica con tutoriales prácticos que te guíen en el modelado de temas con diferentes herramientas y técnicas.
Browse courses on Topic Modelling
Show steps
  • Busca tutoriales sobre modelado de temas en plataformas como Coursera o edX.
  • Selecciona tutoriales que se centren en las herramientas y técnicas cubiertas en el curso.
  • Sigue los tutoriales paso a paso y completa los ejercicios.
Two other activities
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Realiza ejercicios prácticos de modelado de temas
Fortalece tus habilidades prácticas de modelado de temas participando en ejercicios regulares que te desafíen a aplicar los conocimientos adquiridos.
Browse courses on Topic Modelling
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  • Encuentra conjuntos de datos adecuados para el modelado de temas.
  • Implementa algoritmos de modelado de temas utilizando Python y Pycaret.
  • Evalúa los resultados de tu modelado de temas y optimiza los parámetros.
Crea un proyecto de modelado de temas
Aplica tus habilidades de modelado de temas para crear un proyecto significativo que demuestre tu comprensión y capacidad para resolver problemas del mundo real.
Browse courses on Topic Modelling
Show steps
  • Define el ámbito y los objetivos de tu proyecto.
  • Recopila y prepara un conjunto de datos relevante.
  • Selecciona y aplica algoritmos de modelado de temas.
  • Interpreta y visualiza los resultados del modelado de temas.
  • Presenta tu proyecto y comparte tus hallazgos.

Career center

Learners who complete Procesamiento del lenguaje natural con Python y Power BI will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineers design and develop systems that can understand and generate text data. This course provides a comprehensive foundation in NLP, including the latest techniques and tools. The course's focus on Python and Power BI provides NLP Engineers with the skills they need to implement NLP solutions in their work.
Computational Linguist
Computational Linguists study the computational aspects of human language. This course provides a foundation in NLP, a key field within computational linguistics. NLP enables computational linguists to develop models that can understand and generate text data. The course's focus on Python and Power BI provides computational linguists with the tools they need to implement NLP solutions in their work.
Data Scientist
Data Scientists combine programming skills, a sound understanding of statistics, and an ability to communicate insights with business stakeholders. This course helps build a foundation in natural language processing (NLP), a key technology for data scientists. NLP enables data scientists to extract insights from unstructured text data, which is becoming increasingly common in business. The course's focus on Python and Power BI provides data scientists with the tools they need to implement NLP solutions in their work.
Speech Recognition Engineer
Speech Recognition Engineers design and develop systems that can recognize spoken language. This course provides a foundation in NLP, a key technology for speech recognition engineers. NLP enables speech recognition engineers to develop models that can understand and generate speech data. The course's focus on Python and Power BI provides speech recognition engineers with the tools they need to implement NLP solutions in their work.
Natural Language Generation Engineer
Natural Language Generation Engineers design and develop systems that can generate text data. This course provides a foundation in NLP, a key technology for natural language generation engineers. NLP enables natural language generation engineers to develop models that can understand and generate text data. The course's focus on Python and Power BI provides natural language generation engineers with the tools they need to implement NLP solutions in their work.
Machine Learning Engineer
Machine Learning Engineers design and implement machine learning models to solve real-world problems. This course provides a foundation in NLP, a key technology for machine learning engineers. NLP enables machine learning engineers to develop models that can understand and generate text data. The course's focus on Python and Power BI provides machine learning engineers with the tools they need to implement NLP solutions in their work.
Data Engineer
Data Engineers design and build data pipelines that collect, store, and process data. This course provides a foundation in NLP, a key technology for data engineers. NLP enables data engineers to develop pipelines that can process unstructured text data. The course's focus on Python and Power BI provides data engineers with the tools they need to implement NLP solutions in their work.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course provides a foundation in NLP, a key technology for data analysts. NLP enables data analysts to extract insights from unstructured text data, which is becoming increasingly common in business. The course's focus on Python and Power BI provides data analysts with the tools they need to implement NLP solutions in their work.
Database Administrator
Database Administrators design and maintain databases. This course provides a foundation in NLP, a key technology for database administrators. NLP enables database administrators to develop systems that can understand and generate text data. The course's focus on Python and Power BI provides database administrators with the tools they need to implement NLP solutions in their work.
Business Analyst
Business Analysts help businesses identify and solve problems by analyzing data and making recommendations. This course provides a foundation in NLP, a key technology for business analysts. NLP enables business analysts to extract insights from unstructured text data, such as customer reviews and social media data. The course's focus on Python and Power BI provides business analysts with the tools they need to implement NLP solutions in their work.
Information Architect
Information Architects design and organize information systems to help users find and use information effectively. This course provides a foundation in NLP, a key technology for information architects. NLP enables information architects to develop systems that can understand and generate text data. The course's focus on Python and Power BI provides information architects with the tools they need to implement NLP solutions in their work.
Information Security Analyst
Information Security Analysts design and implement security systems to protect data and networks. This course provides a foundation in NLP, a key technology for information security analysts. NLP enables information security analysts to develop systems that can understand and generate text data. The course's focus on Python and Power BI provides information security analysts with the tools they need to implement NLP solutions in their work.
Web Developer
Web Developers design and develop websites. This course provides a foundation in NLP, a key technology for web developers. NLP enables web developers to develop websites that can understand and generate text data. The course's focus on Python and Power BI provides web developers with the tools they need to implement NLP solutions in their work.
Software Engineer
Software Engineers design and develop software systems. This course provides a foundation in NLP, a key technology for software engineers. NLP enables software engineers to develop systems that can understand and generate text data. The course's focus on Python and Power BI provides software engineers with the tools they need to implement NLP solutions in their work.
Technical Writer
Technical Writers create and maintain documentation for technical products and systems. This course provides a foundation in NLP, a key technology for technical writers. NLP enables technical writers to develop documentation that is clear and easy to understand. The course's focus on Python and Power BI provides technical writers with the tools they need to implement NLP solutions in their work.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Procesamiento del lenguaje natural con Python y Power BI.
Este libro proporciona una introducción completa al procesamiento del habla y el lenguaje. Es un recurso valioso para los estudiantes que deseen profundizar en los fundamentos del campo.
Este libro ofrece una guía completa para usar Power BI, una herramienta de visualización y presentación de datos. Es un recurso valioso para los estudiantes que deseen agregar capacidades de PNL a sus paneles de Power BI.
Proporciona una introducción accesible al procesamiento del lenguaje natural con Python, cubriendo temas esenciales como el procesamiento de texto, el modelado estadístico y el aprendizaje automático.
Este libro proporciona una guía completa para usar Python para el análisis de datos. Es un recurso valioso para los estudiantes que deseen utilizar Python en sus proyectos.
Este libro proporciona una introducción completa a la inteligencia artificial. Es un recurso valioso para los estudiantes que deseen comprender los fundamentos del campo.
Ofrece una guía completa para el análisis de datos con Python, cubriendo bibliotecas como Pandas, NumPy y Matplotlib. Proporciona una base sólida para el procesamiento y análisis de texto.

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