About this Course

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Learner Career Outcomes

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Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Flexible deadlines
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Approx. 8 hours to complete
English

Learner Career Outcomes

67%

started a new career after completing these courses

60%

got a tangible career benefit from this course

33%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 8 hours to complete
English

Offered by

Placeholder

University of Washington

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Visualization

2 hours to complete
14 videos (Total 49 min)
14 videos
02 Introduction: Motivating Examples3m
03 Data Types: Definitions3m
04 Mapping Data Types to Visual Attributes3m
05 Data Types Exercise2m
06 Data Types and Visual Mappings Exercises4m
07 Data Dimensions3m
08 Effective Visual Encoding3m
09 Effective Visual Encoding Exercise2m
10 Design Criteria for Visual Encoding2m
11 The Eye is not a Camera4m
12 Preattentive Processing4m
13 Estimating Magnitude3m
14 Evaluating Visualizations3m
Week
2

Week 2

1 hour to complete

Privacy and Ethics

1 hour to complete
14 videos (Total 85 min)
14 videos
Barrow Study Problems4m
Reifying Ethics: Codes of Conduct6m
ASA Code of Conduct: Responsibilities to Stakeholders4m
Other Codes of Conduct6m
Examples of Codified Rules: HIPAA3m
Privacy Guarantees: First Attempts6m
Examples of Privacy Leaks6m
Formalizing the Privacy Problem7m
Differential Privacy Defined9m
Global Sensitivity5m
Laplacian Noise4m
Adding Laplacian Noise and Proving Differential Privacy5m
Weaknesses of Differential Privacy7m
Week
3

Week 3

5 hours to complete

Reproducibility and Cloud Computing

5 hours to complete
17 videos (Total 71 min)
17 videos
Reproducibility Gold Standard5m
Anecdote: The Ocean Appliance4m
Code + Data + Environment3m
Cloud Computing Introduction2m
Cloud Computing History5m
Code + Data + Environment + Platform3m
Cloud Computing for Reproducible Research3m
Advantages of Virtualization for Reproducibility5m
Complex Virtualization Scenarios3m
Shared Laboratories3m
Economies of Scale4m
Provisioning for Peak Load2m
Elasticity and Price Reductions5m
Server Costs vs. Power Costs2m
Reproducibility for Big Data5m
Counter-Arguments and Summary4m
1 practice exercise
AWS Credit Opt-in Consent Form30m

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About the Data Science at Scale Specialization

Data Science at Scale

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