Para quién es esta clase: This course is for anyone who has basic math skills, but is interested in learning or relearning algebra or pre-calculus so they can be successful in other data science math courses.


Creada por:   Universidad Duke

  • Daniel Egger

    Enseñado por:    Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University

  • Paul Bendich

    Enseñado por:    Paul Bendich, Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke

    Mathematics
LevelBeginner
CommitmentFour weeks, 3-5 hours per week.
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
Universidad Duke
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.
Calificaciones y revisiones
Calificado 4.4 de 5 112 calificaciones

Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.

Great course covering the fundamentals which I had largely forgotten (not used) since college.

Good course to cover all the basic maths related to data science

Awesome course!