Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.
Informações sobre o curso
Habilidades que você terá
Universidade de Washington
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 stars57,25%
- 4 stars25,46%
- 3 stars9,10%
- 2 stars4,61%
- 1 star3,56%
Principais avaliações do MANIPULAÇÃO DE DADOS EM ESCALA: SISTEMAS E ALGORITIMOS
Definitely need some background in R or Python and the lectures are a bit old. Seem to be from around 2013 when this first came out but most of the info is still relevant.
Last week of the course is too much information and without any assignments it kind of doesn't make much sense and it doesn't stick.
covers a lot of ground quickly, but you still get a good understanding of the underlying theory or technologies
Very broad and instructive course with a good level of theory, many practical examples. Good teaching.
Some nice assignments but a lake of assignement for the 4th week
I recommand this course
Sobre Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga Escala
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao estudante.