Este curso te brindar谩 los conocimientos necesarios para la extracci贸n, limpieza y preparaci贸n de distintas fuentes de datos para ser incluidos en un proceso de NLP.
Limpieza de datos para el procesamiento de lenguaje natural
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Limpieza de datos para el procesamiento de lenguaje natural
This course is part of Procesamiento de Lenguaje Natural Specialization
Instructor: Hern谩n Daniel Merlino
Included with 
Gain insight into a topic and learn the fundamentals.
4.3
(15 reviews)
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
12 assignments
Taught in Spanish
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Build your subject-matter expertise
This course is part of the Procesamiento de Lenguaje Natural Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Este m贸dulo te permitir谩 obtener los conocimientos necesarios para la construcci贸n de un programa de extracci贸n de datos de p谩ginas Web basadas en HTML.
What's included
5 videos6 readings3 assignments2 discussion prompts1 plugin
En este m贸dulo se describen un conjunto de pasos necesarios para el pre procesar p谩ginas HTML y extraer informaci贸n de ellas. Adem谩s, se detallar谩n distintos tipos de aproximaci贸n al mismo.
What's included
3 videos4 readings3 assignments1 discussion prompt
En este m贸dulo se presentar谩n las t茅cnicas avanzadas de scraping para extracci贸n de datos de p谩ginas HTML que utilizan diversas librer铆as de JavaScript para su construcci贸n
What's included
3 videos4 readings3 assignments1 discussion prompt1 plugin
Una vez estriado el texto de las paginas HTML que es una fuente habitual de extracci贸n de informaci贸n, se pueden sumar distintas fuentes de tipos de datos, como ser PDF, DOC, XLS e im谩genes. En este m贸dulo se ver谩n diversas t茅cnicas que pueden servir para recolectar la informaci贸n de ellas y unificarlas en un mismo conjunto de documentos.
What's included
4 videos4 readings3 assignments1 discussion prompt1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
4.4 (6 ratings)Offered by
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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