Data Science at Scale Specialization

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

About This Specialization

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.

Created by:

4 courses

Follow the suggested order or choose your own.

Projects

Designed to help you practice and apply the skills you learn.

Certificates

Highlight your new skills on your resume or LinkedIn.

Courses

Intermediate Specialization.: Some related experience required.

COURSE 1
大规模数据处理：系统与算法
Upcoming session: Jun 4
Commitment
4周课程，6-8小时/周
Subtitles
English
About the Course
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 pro
You can choose to take this course only. Learn more.
COURSE 2
实用预测分析：模型与方法
Upcoming session: Jun 4
Commitment
4 weeks of study, 6-8 hours/week
Subtitles
English, Korean
About the Course
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 sta
You can choose to take this course only. Learn more.
COURSE 3
发布研究成果：形象化、伦理和再现性
Upcoming session: Jun 4
Subtitles
English
About the Course
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 compl
You can choose to take this course only. Learn more.
COURSE 4
大规模数据科学 - 毕业项目
Upcoming session: Jul 2
Commitment
6 weeks of study, 3-4 hours/week
Subtitles
English
About the Capstone Project
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 collaborat
You can choose to take this course only. Learn more.

Creators

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
Director of Research

FAQs

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