Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to complete this assignment, you will need to make use of Amazon Web Services (AWS). Amazon has generously offered to provide up to $50 in free AWS credit to each learner in this course to allow you to complete the assignment. Further details regarding the process of receiving this credit are available in the welcome message for the course, as well as in the assignment itself. Please note that Amazon, University of Washington, and Coursera cannot reimburse you for any charges if you exhaust your credit.
Об этом курсе
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
- 5 stars35,55 %
- 4 stars23,70 %
- 3 stars17,03 %
- 2 stars8,14 %
- 1 star15,55 %
Лучшие отзывы о курсе COMMUNICATING DATA SCIENCE RESULTS
The information from the last assignment is split into Forums and Tasks description. This is very easy to fix and not doing it shows passivity from the organizers
Too little people participated and long peer review time.
But the course content is good.
Great and useful first week about visualization, although I wish it would cover more material . The ethics and cloud computing felt somewhat incomplete, but useful as well.
Специализация Наука о больших данных: общие сведения
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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