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Data: The Power of Information in Today's World
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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.

Course Cost

₹ 2,699

Beginner

Skill Level

10 Hours

Self-paced lessons

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.

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4.7

7,914 Enrolled

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Christian Igel

Christian Igel

Morten Misfeldt

Morten Misfeldt

English

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olive-leaves-logo

4.7

7,914 Enrolled

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English

Christian Igel

Christian Igel

Morten Misfeldt

Morten Misfeldt

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

  • Develop critical thinking skills to discern the value and risks of data-driven technologies

  • Understand how data literacy can contribute to more equitable and sustainable societal outcomes

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

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Christian Igel
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4.5

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35

Reviews

7,723

Students

1

Course

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
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4.5

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39

Reviews

9,408

Students

1

Course

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.
Floriana Gargiulo
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4.5

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39

Reviews

9,408

Students

1

Course

Floriana Gargiulo is a researcher in Social Science at the GEMASS laboratory (Groupe d’Étude des Méthodes de l’Analyse Sociologique de la Sorbonne) in Paris. She holds a PhD in physics, and her research has evolved from studying Complex Systems to focusing on Computational Social Science, where she combines data science with modeling tools. Throughout her career, Dr. Gargiulo has addressed various theoretical and applied research questions, contributing to publications in areas such as complex networks analysis, dynamics of networks, human mobility, opinion dynamics, and the science of science. Recently, her work has concentrated on attention mechanisms on social media, public debates regarding vaccines, and human behavior in collaborative projects. Currently, she is engaged in several research initiatives within the Sociology of Science, particularly examining the epistemic impact of Artificial Intelligence on scientific and technological ecosystems.
Rasmus Helles
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4.5

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39

Reviews

9,408

Students

1

Course

Dr. Rasmus Helles is an Associate Professor at the University of Copenhagen, specializing in the diffusion and tracking of technologies on the World Wide Web. His research encompasses comparative media systems analysis and the role of digital media in everyday life. Recently, he has conducted comparative studies on the use of tracking technologies within the European Union and has engaged in extensive research on large audiovisual corpora, employing systematic content categorization alongside machine learning techniques. Dr. Helles utilizes both qualitative and quantitative methods in his work and has published extensively in both areas. He was a pioneer in introducing big data and computer log-file analysis as empirical sources in media and communication research in Scandinavia. His publications include applied research utilizing big data, survey research, qualitative data, and mixed methods, as well as theoretical explorations of various methodologies. Dr. Helles collaborates with mid- to large-sized companies and public organizations, contributing to practical applications of his research findings.
Irina Shklovski
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4.5

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39

Reviews

9,408

Students

1

Course

Professor Irina Shklovski holds positions in both the Department of Computer Science and the Department of Communication at the University of Copenhagen, where she focuses on critical issues surrounding technology and society. Her research interests encompass speculative AI futures, responsible and ethical technology design, online data leakage, information privacy, and the unsettling feelings of powerlessness that individuals often experience due to extensive personal data collection. Professor Shklovski has previously explored topics related to crisis response, population mobility, and technology use during wartime. She leads the European project VIRT-EU (Values and Ethics in Responsible Technology in Europe), which investigates how Internet of Things (IoT) developers integrate ethics into their practices and co-designs interventions to foster ethical reflection on data and privacy within the EU context. Additionally, she is a co-investigator in the European training network DCODE, which focuses on design competence for a shared digital society. Her work critically examines how everyday technologies can become "creepy" and how societal norms may lead people to overlook their discomfort with such technologies.
Data: The Power of Information in Today's World

Beginner

Skill Level

10 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

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.