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.
Follow the suggested order or choose your own.
Designed to help you practice and apply the skills you learn.
Highlight your new skills on your resume or LinkedIn.
- Intermediate Specialization.
- Some related experience required.
大规模数据处理：系统与算法Upcoming session: Jun 4
About the CourseData 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
实用预测分析：模型与方法Upcoming session: Jun 4
- 4 weeks of study, 6-8 hours/week
- English, Korean
About the CourseStatistical 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
发布研究成果：形象化、伦理和再现性Upcoming session: Jun 4
About the CourseImportant 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
大规模数据科学 - 毕业项目Upcoming session: Jul 2
- 6 weeks of study, 3-4 hours/week
About the Capstone ProjectIn 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
Director of Research
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