Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
Este curso forma parte de Programa especializado: minería de datos
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Programa especializado: minería de datos Universidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 6 en
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Data Visualization Software
- Tableau Software
- Data Virtualization
- Data Visualization (DataViz)
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 6 en
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad de Illinois en Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Comienza a trabajar para obtener tu maestría
Este curso está relacionado con Master of Computer Science 100 % en línea de Universidad de Illinois en Urbana-Champaign. Te proporcionará una vista previa de los temas, materiales e instructores para que puedas decidir si el programa de título de grado totalmente en línea es adecuado para ti.
Programa - Qué aprenderás en este curso
2 horas para completar
Course Orientation
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
2 horas para completar
6 lecturas
4 horas para completar
Week 1: The Computer and the Human
In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information.
4 horas para completar
15 videos (Total 130 minutos), 2 lecturas, 1 cuestionario
4 horas para completar
Week 2: Visualization of Numerical Data
In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective.
4 horas para completar
11 videos (Total 85 minutos), 3 lecturas, 1 cuestionario
4 horas para completar
Week 3: Visualization of Non-Numerical Data
In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set.
4 horas para completar
8 videos (Total 72 minutos), 3 lecturas, 1 cuestionario
2 horas para completar
Week 4: The Visualization Dashboard
In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system.
2 horas para completar
9 videos (Total 73 minutos), 1 lectura, 1 cuestionario
Reseñas
- 5 stars64,57 %
- 4 stars24,86 %
- 3 stars6,27 %
- 2 stars2,44 %
- 1 star1,83 %
Principales reseñas sobre VISUALIZACIÓN DE DATOS
por SM14 de dic. de 2016
One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.
por SR14 de abr. de 2020
It was a very enriching experience. Coursera is such a nice platform for learners.
Very good lectures. I am thankful for the team and the Instructor.
por AD3 de jun. de 2017
It provides me with the base to transmit to the user the data analysis made in a visual way easy for them to understand and take decision.
por JM3 de jun. de 2016
I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.
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.
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