Created by:  University of Illinois at Urbana-Champaign

  • John C. Hart

    Taught by:  John C. Hart, Professor of Computer Science

    Department of Computer Science
Basic Info
Course 1 of 6 in the Data Mining Specialization
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
Syllabus

FAQs
How It Works
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creators
University of Illinois at 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.
Pricing
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Accede a los materiales con calificación

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Recibe una calificación final

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Obtén un Certificado de curso para compartir

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Ratings and Reviews
Rated 4.4 out of 5 of 382 ratings

I enjoyed the content.

Very nice overview for the subject. Great introduction that focuses for every kind of professional interested in data visualization (eg.: programmers and designers, analysts and decision makers). I really appreciate the projects and the peer-review model. It was an amazing challenge and I definitely will take the sequence of Data Visualization courses. Thanks Coursera :)

I really enjoyed this course. It is a very good source for learning how to represent numerical and relational data in a way that conveys information effectively. I also used this course as a platform to learn javascript in order to solve the assignments using the amazing library D3.js.

Good course. The section on graphs could use more detail on how the layout algorithms affect usability of data visualizations.