Informações principais
Sobre o conteúdo
Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. #uwdatasci
Programa de estudos
- Examples, data science articulated, history and context, technology landscape
- Databases and the relational algebra
- Parallel databases, parallel query processing, in-database analytics
- MapReduce, Hadoop, relationship to databases, algorithms, extensions, languages
- Key-value stores and NoSQL; tradeoffs of SQL and NoSQL
- Topics in statistical modeling: basic concepts, experiment design, pitfalls
- Topics in machine learning: supervised learning (rules, trees, forests, nearest neighbor, regression), optimization (gradient descent and variants), unsupervised learning
- Visualization, data products, visual data analytics
- Provenance, privacy, ethics, governance
- Graph Analytics: structure, traversals, analytics, PageRank, community detection, recursive queries, semantic web
- Guest Lectures
Instrutores
- Bill Howe - Scalable Data Analytics
Criador do conteúdo
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.
Plataforma
A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.
O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours
