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Data: The Power of Information in Today's World

Explore data literacy's role in personal life, society, and knowledge production. Learn to navigate data-driven technologies ethically.

Explore data literacy's role in personal life, society, and knowledge production. Learn to navigate data-driven technologies ethically.

This course examines data literacy from three crucial perspectives: data in personal life, data in society, and data in knowledge production. It aims to expand learners' skills in identifying, understanding, and interpreting the roles of digital technologies in daily life. The curriculum helps participants discern when data-driven technologies add value to people's lives and when they potentially exploit vulnerabilities or deplete common resources. Through a combination of lectures, readings, and interactive assignments, students develop a deeper understanding of how data-driven technologies shape knowledge production and how they can be realigned with human needs and values. The course covers topics such as user tracking, personal data management, the attention economy, the impact of networked data on truth and democracy, and the role of data in modern knowledge creation, including AI research and computational social science.

4.7

(95 ratings)

7,914 already enrolled

Instructors:

English

21 languages available

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Data: The Power of Information in Today's World

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

What you'll learn

  • Understand the concept of data literacy and its importance in modern society

  • Analyze personal data collection practices and their implications for privacy

  • Evaluate the impact of data-driven technologies on information dissemination and democracy

  • Explore the role of algorithms and AI in shaping social interactions and decision-making

  • Examine the application of big data and computational methods in knowledge production

  • Assess the ethical considerations in data use and algorithmic decision-making

Skills you'll gain

data literacy
personal data
digital privacy
attention economy
computational social science
AI ethics
data-driven democracy
algorithmic bias

This course includes:

2.85 Hours PreRecorded video

8 quizzes,1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

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There are 3 modules in this course

This course provides a comprehensive exploration of data literacy in the modern world, examining its impact on personal life, society, and knowledge production. It begins by investigating personal data management and digital privacy, helping learners understand the extent and implications of data collection in their daily lives. The curriculum then expands to explore how networked data and algorithms shape our worldview, discussing topics such as the attention economy, digital journalism, and the spread of information (and misinformation) in the digital age. The final section delves into data-driven knowledge production, covering cutting-edge topics like AI research, computational social science, and machine learning applications in various fields, including education and environmental monitoring. Throughout the course, participants are encouraged to think critically about the ethical implications of data use and to develop a nuanced understanding of how data-driven technologies can be harnessed for societal benefit while mitigating potential risks.

Your Life as Data

Module 1 · 3 Hours to complete

Networked Data, Truth and Democracy

Module 2 · 3 Hours to complete

Data-driven Knowledge Production

Module 3 · 4 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Christian Igel
Christian Igel

4.5 rating

35 Reviews

7,723 Students

1 Course

Leading Expert in Machine Learning at the University of Copenhagen

Christian Igel is a professor at the Department of Computer Science (DIKU) and serves as the director of the SCIENCE AI Centre at the University of Copenhagen. He studied Computer Science at the Technical University of Dortmund, Germany, earning his Doctoral degree from Bielefeld University in 2002 and his Habilitation from Ruhr-University Bochum in 2010. Before joining DIKU, he was a W1 professor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum, from 2003 to 2010. Appointed as a professor with special duties in machine learning at DIKU in 2010, he became a full professor in 2014. Igel is a fellow of the European Lab for Learning and Intelligent Systems (ELLIS) and serves as an editor for several journals, including the German Journal on Artificial Intelligence (KI) and the Evolutionary Computation Journal (ECJ). His research interests include deep neural networks, kernel-based methods, evolution strategies for optimization, reinforcement learning, and applying machine learning to achieve sustainable development goals.

Morten Misfeldt
Morten Misfeldt

4.5 rating

39 Reviews

9,408 Students

1 Course

Leader in Digital Education at the University of Copenhagen

Professor Morten Misfeldt is a prominent figure at the University of Copenhagen, where he serves as the leader of the Center for Digital Education within the Department of Science Education and the Department of Computer Science. His research focuses on the intersection of digitalization in teaching and learning, particularly within mathematics education. Professor Misfeldt has published extensively on topics such as game-based learning, learning analytics, and the impact of digital tools on mathematical thinking. Recently, he has explored the digitalization of educational infrastructure and the interplay between technology education and mathematics education. His work aims to enhance teaching practices through innovative digital solutions, contributing significantly to the advancement of educational methodologies in mathematics.

Data: The Power of Information in Today's World

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

Testimonials

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4.7 course rating

95 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.