Created by:  Duke University

  • Daniel Egger

    Taught by:  Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University

  • Jana Schaich Borg

    Taught by:  Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute
Basic Info
Commitment8 weeks of study, 8-10 hours/week
Language
English
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
Comprar 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 de curso para compartir

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Ratings and Reviews
Rated 4.7 out of 5 of 89 ratings

This course would help you consolidate all the learnings from the previous modules and apply them in a realistic situation.

The workload of this course is not very high. This course also expands slightly on Tableau skills from the previous course on Tableau. One of the first few weeks also involve extracting data using SQL, so this was new experience. My overall opinion is that this course really spoon-feed quite a bit, so that during the peer review you can see almost everyone comes with almost identical proposal. As of now it seems there is still a healthy number of students who take this module (which is really important for any peer-reviewed course). Finally kudos to the team and Coursera for making this course free for anyone who have completed the other courses in this specialization.

I highly recommend this as a data analysis course. Other MOOCs in data analysis satisfy themselves with teaching you to swim with wings in the paddle pool. Here you graduate with stormy seas swimming skills that will help you in the real world. Very challenging but very worthwhile.

Awesome course, the business case, realy cool