About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 11 hours to complete

English

Subtitles: English
User
Learners taking this Course are
  • Data Scientists
  • Machine Learning Engineers
  • Research Assistants
  • Business Analysts
  • Researchers
User
Learners taking this Course are
  • Data Scientists
  • Machine Learning Engineers
  • Research Assistants
  • Business Analysts
  • Researchers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 11 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Visualization

14 videos (Total 49 min), 1 quiz
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
1 hour to complete

Privacy and Ethics

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
4 hours to complete

Reproducibility and Cloud Computing

17 videos (Total 71 min), 2 quizzes
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 Form2m
3.6
36 ReviewsChevron Right

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started a new career after completing these courses

60%

got a tangible career benefit from this course

33%

got a pay increase or promotion

Top reviews from Communicating Data Science Results

By BLAug 7th 2019

Too little people participated and long peer review time.\n\nBut the course content is good.

Instructor

Avatar

Bill Howe

Director of Research
Scalable Data Analytics

About 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....

About the Data Science at Scale 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....
Data Science at Scale

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.