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Back to Data Literacy – What is it and why does it matter?

Learner Reviews & Feedback for Data Literacy – What is it and why does it matter? by University of Milan

4.6
stars
226 ratings

About the Course

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 Université), University of Copenhagen (Københavns Universitet), University of Milan (Università degli studi di Milano), and University of Warsaw (Uniwersytet Warszawski)....

Top reviews

CW

May 5, 2023

I enjoyed this course as it hit on some key aspects I desired, such as machine learning (and unintended biases) and use of data algorithms to solve societal problems.

HP

Jan 29, 2026

This course was Excellent! Please generate my Certificate of completion of this course???

Filter by:

51 - 71 of 71 Reviews for Data Literacy – What is it and why does it matter?

By Utibe M E

•

Aug 30, 2024

5 🌟

By Noyel R

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Mar 2, 2023

good

By Vignesh G

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Jan 23, 2023

Good

By Mike M

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Jun 5, 2023

Good description of the subject and the challenges. The diversity of views from different professors enriches the content.

To reach excellent level there is a need for more detailed description of applications.

By Mike M

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Jan 9, 2026

This course really impacted me to have high data literacy such that am compelled to come up with a youth Data Protection Awareness and Ethics movement

By MFIKOU J c

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Mar 28, 2025

C'est un cours qui nous permet d'acquérir des limites sur comment on doit mener une vie responsable sur le net

By MBOUNGOU H O

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Sep 4, 2025

This is a wonderful corse, i've so appreciate that, please keep on, that's helpful for us: students

By Famakinwa T

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Apr 6, 2025

This has really been an eye opener for me. and I have learned a lot about what data is.

By sarah O

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May 20, 2025

pour moi la maitrise de donnes est le faite de pour moi de securiser cest donner

By MARIAM O

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Jun 27, 2024

C'est cours très intéressant et important pour tout les étudiants.

By Tamizharasan S

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Jan 20, 2023

It's Very useful.

By Ultimate I

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Mar 19, 2025

Very Explanatory

By cerole m

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Apr 3, 2025

Cool

By MVOGO E D M

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Mar 12, 2025

good

By Olamide A

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Jan 22, 2024

Nice

By Hariharasudhan G

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Jan 23, 2023

good

By Biloa A A P

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Jan 30, 2026

Some modules and readings require much more than beginner level knowledge on the topic

By B I V

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Apr 18, 2025

Je suis ravie d'apprendre ce cours

By kobenan r y

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Jan 19, 2026

C'est un très bon cours

By 萩尾　直仁

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Nov 5, 2025

日本語でないので苦労した

By Heer P

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Feb 3, 2026

Please remove this Course from this list!