Creada por:   Johns Hopkins University

  • Brian Caffo, PhD

    Enseñado por:    Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health

  • Jeff Leek, PhD

    Enseñado por:    Jeff Leek, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health

  • Roger D. Peng, PhD

    Enseñado por:    Roger D. Peng, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health
Basic Info
Course 9 of 10 in the Data Science 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
Programa

Preguntas Frecuentes
Cómo funciona
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.

Creadores
Johns Hopkins University
Tarifa
AuditarComprar curso
Accede a los materiales del curso

Disponible

Disponible

Accede a los materiales con calificación

No disponible

Disponible

Recibe una calificación final

No disponible

Disponible

Obtén un Certificado para compartir

No disponible

Disponible

Calificaciones y revisiones
Calificado 4.4 de 5 580 calificaciones

I think this one is the best from the Specialization as it is the most Practical one (more than Practical Machine Learning).

Can be taken without the others if you have basic experience in R and want to learn about cool R applications.

The reason I don't give full rating is for not having practical assignment every week. So there wasn't enough effort put into the course. Of course, we can do optional homework and make more applications, but assignments like these should be mandatory. There is no package building and no swirl course building - So why do we have week 3 and 4 at all? The quizzes are also laughable - no knowledge testing at all.

So although I liked this course from the Specialization the most, I still can't give full rating because of the mentioned issues.

Great

Very Useful Course.

very helpful and teaching. learning practical tools for producting data products. examples in the course are not very complex, but give a very good intro for several tools.