Creada por:   Duke University

  • Daniel Egger

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

    Pratt School of Engineering, Duke University

  • Jana Schaich Borg

    Enseñado por:    Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute
Información básica
Curso 3 de 5 en el Programa especializado Excel a MySQL: Técnicas Analíticas para Negocios.
Compromiso5 weeks, 3 - 5 hours per week
Idioma
English
Cómo aprobarAprueba todas las tareas calificadas para completar el curso.
Calificaciones del usuario
4.6 stars
Average User Rating 4.6Ve los que los estudiantes dijeron
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
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.
Tarifa
AuditarComprar curso
Accede a los materiales del curso

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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 para compartir

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Calificaciones y revisiones
Calificado 4.6 de 5 1,105 calificaciones

Excellent course - If you want to internalise and understand course content and tools, it requires more time than estimate written in course outline.

I am a working professional in the field of data analytics where in Tableau is one of the application we use it on a daily basis. My motive for taking this course is to learn some more innovative techniques that are used by professionals in tableau but the fact was there is nothing new for me to learn here in terms of techniques. I would say this course suits best for a beginner but not for someone who already has some lineage with tableau.

Pros:

1. Hourglass model is one of the things I liked the most.

2. Final project submission is really challenging and which help me to learn lot of new things.

Cons:

1. Weekly tests are very lengthy

2. Every once can get 100% not a big deal by trial and error

3. Most of the questions in the weekly course are very subjective and cannot have a single correct answer. We had to retake the test again and again to get 100% due to subjective questions

However this course has definitely changed my way of looking into data and the way we decipher it. I am looking forward to continue and take more coursers to be a the part of this esteemed analytics community.

Excellent Explanation. Flow of teaching is very clear.

Excellent introductory course of Tableau !!