Created by:  Duke University

Basic Info
LevelBeginner
Commitment5 weeks of study, 5-7 hours/week
Language
English, Subtitles: Korean
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See 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
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Pricing
AuditarComprar curso
Accede a los materiales del curso

Available

Available

Accede a los materiales con calificación

Not available

Available

Recibe una calificación final

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Available

Obtén un Certificado de curso para compartir

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Available

Ratings and Reviews
Rated 4.7 out of 5 of 1,380 ratings

I like the simplicity of the course. It encourages the student to explore the subject further.

I had some statistics background in my undergraduate training. While my primary focus of taking this course was learning R, I manage to learn some new things too. Through the course, I was able to learn very basic codes and would love to continue to do so.

The statistics and probablity part is very good, but something more needed to be done about basics of R.

Very good course on Statistics with application in the R programming language ,a great intro for anyone who want to understand statistical concepts used in research , data science.

Although the course require no background in R , I would advise to take an introduction in R programming before hand in order to be able to finish the final project easily .