課程信息
3.6
124 個評分
35 個審閱
專項課程

第 3 門課程(共 4 門),位於

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完成時間(小時)

完成時間大約為11 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English)...
專項課程

第 3 門課程(共 4 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為11 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 3 小時

Visualization

Statistical inferences from large, heterogeneous, and noisy datasets are useless if you can't communicate them to your colleagues, your customers, your management and other stakeholders. Learn the fundamental concepts behind information visualization, an increasingly critical field of research and increasingly important skillset for data scientists. This module is taught by Cecilia Aragon, faculty in the Human Centered Design and Engineering Department....
Reading
14 個視頻(共 49 分鐘), 1 個測驗
Video14 個視頻
02 Introduction: Motivating Examples3分鐘
03 Data Types: Definitions3分鐘
04 Mapping Data Types to Visual Attributes3分鐘
05 Data Types Exercise2分鐘
06 Data Types and Visual Mappings Exercises4分鐘
07 Data Dimensions3分鐘
08 Effective Visual Encoding3分鐘
09 Effective Visual Encoding Exercise2分鐘
10 Design Criteria for Visual Encoding2分鐘
11 The Eye is not a Camera4分鐘
12 Preattentive Processing4分鐘
13 Estimating Magnitude3分鐘
14 Evaluating Visualizations3分鐘
2
完成時間(小時)
完成時間為 1 小時

Privacy and Ethics

Big Data has become closely linked to issues of privacy and ethics: As the limits on what we *can* do with data continue to evaporate, the question of what we *should* do with data becomes paramount. Motivated in the context of case studies, you will learn the core principles of codes of conduct for data science and statistical analysis. You will learn the limits of current theory on protecting privacy while still permitting useful statistical analysis. ...
Reading
14 個視頻(共 85 分鐘)
Video14 個視頻
Barrow Study Problems4分鐘
Reifying Ethics: Codes of Conduct6分鐘
ASA Code of Conduct: Responsibilities to Stakeholders4分鐘
Other Codes of Conduct6分鐘
Examples of Codified Rules: HIPAA3分鐘
Privacy Guarantees: First Attempts6分鐘
Examples of Privacy Leaks6分鐘
Formalizing the Privacy Problem7分鐘
Differential Privacy Defined9分鐘
Global Sensitivity5分鐘
Laplacian Noise4分鐘
Adding Laplacian Noise and Proving Differential Privacy5分鐘
Weaknesses of Differential Privacy7分鐘
3
完成時間(小時)
完成時間為 4 小時

Reproducibility and Cloud Computing

Science is facing a credibility crisis due to unreliable reproducibility, and as research becomes increasingly computational, the problem seems to be paradoxically getting worse. But reproducibility is not just for academics: Data scientists who cannot share, explain, and defend their methods for others to build on are dangerous. In this module, you will explore the importance of reproducible research and how cloud computing is offering new mechanisms for sharing code, data, environments, and even costs that are critical for practical reproducibility....
Reading
17 個視頻(共 71 分鐘), 2 個測驗
Video17 個視頻
Reproducibility Gold Standard5分鐘
Anecdote: The Ocean Appliance4分鐘
Code + Data + Environment3分鐘
Cloud Computing Introduction2分鐘
Cloud Computing History5分鐘
Code + Data + Environment + Platform3分鐘
Cloud Computing for Reproducible Research3分鐘
Advantages of Virtualization for Reproducibility5分鐘
Complex Virtualization Scenarios3分鐘
Shared Laboratories3分鐘
Economies of Scale4分鐘
Provisioning for Peak Load2分鐘
Elasticity and Price Reductions5分鐘
Server Costs vs. Power Costs2分鐘
Reproducibility for Big Data5分鐘
Counter-Arguments and Summary4分鐘
Quiz1 個練習
AWS Credit Opt-in Consent Form2分鐘

講師

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Bill Howe

Director of Research
Scalable Data Analytics

關於 University of Washington

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....

關於 Data Science at Scale 專項課程

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....
Data Science at Scale

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