Data Science at Scale 专项课程

于 Apr 23 开始

Data Science at Scale 专项课程

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

本专项课程介绍

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.

制作方:

courses
4 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

课程
Intermediate Specialization.
Some related experience required.
  1. 第 1 门课程

    大规模数据处理:系统与算法

    计划开课班次:Apr 23
    课程学习时间
    4周课程,6-8小时/周
    字幕
    English

    课程概述

    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. 第 2 门课程

    实用预测分析:模型与方法

    计划开课班次:Apr 23
    课程学习时间
    4 weeks of study, 6-8 hours/week
    字幕
    English

    课程概述

    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. 第 3 门课程

    发布研究成果:形象化、伦理和再现性

    计划开课班次:Apr 23
    字幕
    English

    课程概述

    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. 第 4 门课程

    大规模数据科学 - 毕业项目

    计划开课班次:Jul 2
    课程学习时间
    6 weeks of study, 3-4 hours/week
    字幕
    English

    毕业项目介绍

    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

制作方

  • 华盛顿大学

    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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