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：
4 courses
按照建议的顺序或选择您自己的顺序。
项目
旨在帮助您实践和应用所学到的技能。
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.
第 1 门课程
大规模数据处理：系统与算法
当前班次：Jun 18- 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您可以选择只参加本课程。 了解更多。
第 2 门课程
实用预测分析：模型与方法
当前班次：Jun 18- 课程学习时间
- 4 weeks of study, 6-8 hours/week
- 字幕
- English, Korean
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您可以选择只参加本课程。 了解更多。
第 3 门课程
发布研究成果：形象化、伦理和再现性
当前班次：Jun 18- 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您可以选择只参加本课程。 了解更多。
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您可以选择只参加本课程。 了解更多。
制作方
Bill Howe
Director of Research
FAQs
More questions? Visit the Learner Help Center.
