Programa Especializado - Data Science at Scale

Comienza el Jun 24

Programa Especializado - Data Science at Scale

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

Sobre este Programa Especializado

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.

Creada por:

courses
4 courses

Sigue el orden sugerido o elige el tuyo.

projects
Proyectos

Diseñado para ayudarte a practicar y aplicar las habilidades que aprendiste.

certificates
Certificados

Resalta tus nuevas habilidades en tu currículum o LinkedIn.

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

    Data Manipulation at Scale: Systems and Algorithms

    Dedicación
    4 weeks of study, 6-8 hours/week
    Subtítulos
    English

    Acerca del 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 progra
  2. CURSO 2

    Practical Predictive Analytics: Models and Methods

    Dedicación
    4 weeks of study, 6-8 hours/week
    Subtítulos
    English, Korean

    Acerca del 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 statis
  3. CURSO 3

    Communicating Data Science Results

    Próxima sesión: Jul 2
    Subtítulos
    English

    Acerca del 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 complete
  4. CURSO 4

    Data Science at Scale - Capstone Project

    Próxima sesión: Jul 2
    Dedicación
    6 weeks of study, 3-4 hours/week
    Subtítulos
    English

    Sobre el Proyecto Final

    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 collaboration

Creadores

  • University of 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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