This course offers step-by-step guidance and hands-on experience of designing and implementing a real-world data mining project, including problem formulation, literature survey, proposed work, evaluation, discussion and future work.
Este curso forma parte de Programa especializado: Data Mining Foundations and Practice
ofrecido por
Programa especializado: Data Mining Foundations and PracticeUniversidad de Colorado en BoulderAcerca de este Curso
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Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 3 en
Nivel intermedio
data science professionals or domain experts, some experience working with data, completion of Data Mining Pipeline and Data Mining Methods
Aprox. 38 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
Qué aprenderás
Identify the key components of and propose a real-world data mining project.
Design and develop real-world solutions across the full data mining pipeline.
Summarize and present the key findings of the data mining project.
Analyze the overall project process and identify possible improvements.Â
Habilidades que obtendrás
- data mining project design and development
- data mining project formulation
- data mining project summary and presentation
- data mining project process analysis and improvement
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 3 en
Nivel intermedio
data science professionals or domain experts, some experience working with data, completion of Data Mining Pipeline and Data Mining Methods
Aprox. 38 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
ofrecido por
Universidad de Colorado en Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Comienza a trabajar para obtener tu maestrÃa
Este curso es parte del Master of Science in Data Science completamente en lÃnea de Universidad de Colorado en Boulder.
Si te aceptan en el programa completo, tus cursos cuentan para tu tÃtulo de grado.
Programa - Qué aprenderás en este curso
5 horas para completar
Introduction to Data Mining Project
This module provides a general introduction of data mining project from the architect's perspective, focusing on the the initial brainstorming of project ideas.
5 horas para completar
2 videos (Total 91 minutos), 2 lecturas
11 horas para completar
Project Proposal
This module discusses in detail what should be included in the project proposal.
11 horas para completar
2 videos (Total 60 minutos)
11 horas para completar
Project Checkpoint
This module focuses on checking the status of the project, identifying the progress so far and any changes to the initial proposal.
11 horas para completar
2 videos (Total 50 minutos)
11 horas para completar
Project Final Report
This module discusses in detail the final project report, highlighting the importance of summarizing the key findings and analyzing the overall project process.
11 horas para completar
2 videos (Total 51 minutos)
Acerca de Programa especializado: Data Mining Foundations and Practice
The Data Mining specialization is intended for data science professionals and domain experts who want to learn the fundamental concepts and core techniques for discovering patterns in large-scale data sets. This specialization consists of three courses: (1) Data Mining Pipeline, which introduces the key steps of data understanding, data preprocessing, data warehouse, data modeling and interpretation/evaluation; (2) Data Mining Methods, which covers core techniques for frequent pattern analysis, classification, clustering, and outlier detection; and (3) Data Mining Project, which offers guidance and hands-on experience of designing and implementing a real-world data mining project.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
