Data Science at Scale 專項課程
Tackle Real Data Challenges。 Master computational, statistical, and informational data science in three courses.
本專項課程介紹
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.
製作方：
4 courses
按照建議的順序或選擇您自己的順序。
項目
旨在幫助您實踐和應用所學到的技能。
證書
在您的簡歷和領英中展示您的新技能。
課程
- Intermediate Specialization.
- Some related experience required.
第 1 門課程
大规模数据处理：系统与算法
- 課程學習時間
- 4周课程，6-8小时/周
- 字幕
- English
課程概述
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您可以選擇只參加本課程。 了解更多。
第 2 門課程
实用预测分析：模型与方法
- 課程學習時間
- 4 weeks of study, 6-8 hours/week
- 字幕
- English, Korean
課程概述
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您可以選擇只參加本課程。 了解更多。
第 3 門課程
发布研究成果：形象化、伦理和再现性
- 字幕
- English
課程概述
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您可以選擇只參加本課程。 了解更多。
第 4 門課程
大规模数据科学 - 毕业项目
計劃開課班次：Sep 24- 課程學習時間
- 6 weeks of study, 3-4 hours/week
- 字幕
- English
畢業項目介紹
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您可以選擇只參加本課程。 了解更多。
製作方
Bill Howe
Director of Research
FAQs
More questions? Visit the Learner Help Center.
