Créé par :   Duke University

  • Daniel Egger

    Enseigné par :    Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University

  • Jana Schaich Borg

    Enseigné par :    Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute
Informations de base
Engagement5 weeks, 6-8 hours per week
Langue
English
Comment réussirRéussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs
4.6 stars
Average User Rating 4.6Voir ce que disent les étudiants
Programme de cours

FAQ
Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Créateurs
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.
Tarification
Auditeur libreAcheter le cours
Accéder au contenu du cours

Disponible

Disponible

Accéder au contenu noté

Non disponible

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Recevoir une Note Finale

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Disponible

Obtenir un Certificat partageable

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Notation et examens
Note moyenne 4.6 sur 5 sur 1,109 notes

The course content has rigor and the learning is great!! Thanks

Not bad, some tests are too difficult, specially to understand the right questions. Materials are good but some details make the expereince not so good. However, overall is a good course!

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.