Data Literacy - What is it and why does it matter?
- Offered byCoursera
Data Literacy - What is it and why does it matter? at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Literacy - What is it and why does it matter? at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Beginner Level Interested in data literacy and its role in data-driven societies. No specific prerequisites are required.
- Approx. 11 hours to complete
- English Subtitles: English
Data Literacy - What is it and why does it matter? at Coursera Course details
- You might already know that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase of inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences and actions. It determines what we have access to, and what not. It enables global dissemination of best practices and life improving technologies, as well as the spread of mistrust and radicalization. This is why data literacy matters.
- A key principle of data literacy is to have a heightened awareness of the risks and opportunities of data-driven technologies and to stay up-to-date with their consequences. In this course, we view data literacy from three perspectives: Data in personal life, data in society, and data in knowledge production. The aim is threefold: 1. To expand your skills and abilities to identify, understand, and interpret the many roles of digital technologies in daily life. 2. To enable you to discern when data-driven technologies add value to people'??s lives, and when they exploit human vulnerabilities or deplete the commons. 3. To cultivate a deeper understanding of how data-driven technologies are shaping knowledge production and how they may be realigned with real human needs and values.
- The course is funded by Erasmus+ and developed by the 4EU+ University Alliance including Charles University (Univerzita Karlova), Sorbonne Unviersity (Sorbonne Universit'©), University of Copenhagen (K'¸benhavns Universitet), University of Milan (Universit' degli studi di Milano), and University of Warsaw (Uniwersytet Warszawski).
Data Literacy - What is it and why does it matter? at Coursera Curriculum
Your Life as Data
1.1 Introduction to the Course
1.2 Revealing the Infrastructure of Digital Advertising
1.3 Personal Data & the Problems of Empowerment
1.4 Legal Aspects, Security and Privacy
Internet Service Providers Are Collecting -and Sharing- Vast Amounts of Information About Customers
A Look at What ISPs Know About You
1.1 Further Reading and Resources
Digital AdTech: The Complete Guide
Web Tracking's Opaque Business Model of Selling Users
Empowering Resignation: There's an App for That
Education on Cyber Security Issues Under EU Law
Measuring the GDPR's Impact on Web Privacy
1.4 Further Reading and Resources
1.2 Quiz
1.3 Quiz
1.4 Quiz
Networked Data, Truth and Democracy
2.1 The Attention Economy
2.2 Journalism, Data and Democracy
2.3 How to Find the Truth in the Network
The Attention Economy
2.1 Further Reading and Resources
Clarifying Journalism's Quantitative Turn
2.2 Further Reading and Resources
Educating for Misunderstanding
2.3 Further Reading and Resources
2.2 Quiz
2.3 Quiz
Data-driven Knowledge Production
3.1a Can Algorithms Become Humane? (Part 1)
3.1b Can Algorithms Become Humane? (Part 2)
3.2 Algorithms Improving Infrastructures
3.3 Machine Learning for Achieving SDGs: An Ecosystem Monitoring Case
3.4 Computational Social Science
3.5 Computer Science for All, and as an Educational Endeavor
How AI can be used as a source for good
15 Challenges for AI: or what AI (currently) can't do
3.1 Further Reading and Resources
Algorithmic Game Theory: Introduction and Examples
3.2 Further Reading and Resources
Understanding Machine Learning
3.3 Further Reading and Resources
Computational Social Science
Manifesto of Computational Social Science
Seymour Papert- Father of Educational Computing
Developing Computational Thinking in Compulsory Education- Implications for policy and practice
Relations between mathematics and programming in school: juxtaposing three different cases
3.2 Quiz
3.3 Quiz
3.4 Quiz
3.5 Quiz
Data Literacy - What is it and why does it matter? at Coursera Admission Process
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