Acerca de este Curso

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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano

Habilidades que obtendrás

Data Clustering AlgorithmsData AnalysisNatural Language ProcessingData Mining
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano

ofrecido por

Logotipo de Universidad de Illinois en Urbana-Champaign

Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

Este curso es parte del Master in Computer Science completamente en línea de Universidad de Illinois en Urbana-Champaign. Si eres aceptado en el programa completo, tus cursos cuentan para tu título.

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

2 horas para completar

Orientation

2 horas para completar
1 video (Total 13 minutos), 6 lecturas
6 lecturas
Orientation Overview10m
Syllabus10m
About the Discussion Forums10m
Updating Your Profile10m
MeTA Installation and Overview10m
Data Set and Toolkit Acquisition10m
2 horas para completar

Task 1 - Exploration of a Data Set

2 horas para completar
2 lecturas
2 lecturas
Task 1 Overview10m
Task 1 Rubric10m
Semana
2

Semana 2

2 horas para completar

Task 2 - Cuisine Clustering and Map Construction

2 horas para completar
2 lecturas
2 lecturas
Task 2 Overview10m
Task 2 Rubric10m
Semana
3

Semana 3

2 horas para completar

Task 3 - Dish Recognition

2 horas para completar
2 lecturas
2 lecturas
Task 3 Overview10m
Task 3 Rubric10m
Semana
4

Semana 4

2 horas para completar

Task 4 & 5 - Popular Dishes and Restaurant Recommendation

2 horas para completar
2 lecturas
2 lecturas
Task 4 and 5 Overview10m
Task 4 and 5 Rubric10m

Revisiones

Principales revisiones sobre DATA MINING PROJECT

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Acerca de Programa especializado: minería de datos

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
minería de datos

Preguntas Frecuentes

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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