Communicating Data Science Results
Master the art of effective data visualization, ethics, and reproducible research for impactful data science communication.
Master the art of effective data visualization, ethics, and reproducible research for impactful data science communication.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science at Scale Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
3.4
(142 ratings)
16,794 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Design and evaluate effective data visualizations
Understand ethical implications of big data analysis
Implement reproducible research using cloud computing
Apply privacy protection methods in data science
Create impactful data science communications
Skills you'll gain
This course includes:
3.4 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course focuses on three critical aspects of data science communication: visualization, privacy/ethics, and reproducibility. Students learn to design and critique effective visualizations, understand ethical considerations in big data, and implement reproducible research using cloud computing. The curriculum includes hands-on experience with AWS for large-scale data analysis, exploration of privacy protection methods, and practical application of data visualization principles.
Visualization
Module 1 · 1 Hours to complete
Privacy and Ethics
Module 2 · 1 Hours to complete
Reproducibility and Cloud Computing
Module 3 · 4 Hours to complete
Fee Structure
Instructor
Director of Research
Bill Howe is the Director of Research for Scalable Data Analytics at the University of Washington's eScience Institute and holds an Affiliate Assistant Professor position in Computer Science & Engineering. He leads research focused on data management, analytics, and visualization systems tailored for scientific applications. Howe has received multiple awards from Microsoft Research and honors for his contributions to scientific data management.
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3.4 course rating
142 ratings
Frequently asked questions
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