Programa de cursos integrados Ciência de Dados em Larga Escala

Iniciou em Apr 23

Programa de cursos integrados Ciência de Dados em Larga Escala

Tackle Real Data Challenges. Master computational, statistical, and informational data science in three courses.

Sobre esse Programa de cursos integrados

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project.

Desenvolvido por:

courses
4 courses

Siga a ordem sugerida ou escolha a sua própria.

projects
Projetos

Projetado para ajudar a praticar e aplicar as habilidades que aprendeu.

certificates
Certificados

Dê destaque às suas novas habilidades em seu currículo ou no seu perfil do LinkedIn.

Cursos
Intermediate Specialization.
Some related experience required.
  1. CURSO 1

    Manipulação de dados em escala: sistemas e algoritimos

    Sessão atual: Apr 23
    Compromisso
    4 weeks of study, 6-8 hours/week
    Legendas
    English

    Sobre o curso

    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 prog
  2. CURSO 2

    Practical Predictive Analytics: Models and Methods

    Sessão atual: Apr 23
    Compromisso
    4 semanas de estudo, 6-8 horas/semana
    Legendas
    English

    Sobre o curso

    Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting stat
  3. CURSO 3

    Communicating Data Science Results

    Sessão atual: Apr 23
    Legendas
    English

    Sobre o curso

    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 comple
  4. CURSO 4

    Data Science at Scale - Capstone Project

    Próxima sessão: Jul 2
    Compromisso
    6 weeks of study, 3-4 hours/week
    Legendas
    English

    Sobre o Trabalho de Conclusão

    In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaborati

Desenvolvedores

  • Universidade de Washington

    The University of Washington is a national and international leader in the core fields that are driving data science: computer science, statistics, human-centered design, and applied math.

    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.

  • Bill Howe

    Bill Howe

    Director of Research

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