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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 Copenhagen

4.8
stars
65 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.

SR

Nov 24, 2022

This course is really a awareness course regarding how to take care of personal Data as well as professional data.

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1 - 17 of 17 Reviews for Data Literacy – What is it and why does it matter?

By Pawel F

Apr 17, 2023

The course provides a nice overview of the current state of computational science, legal implications (privacy) and the effects it has on society, with a broad array of topics. however, data literacy itself is not really covered in depth.

additionally the course relies heavily on external resources. which is not a bad thing, but as of now (apr 2023) many of the links are behind a paywall.

By Muhammad S

May 31, 2023

The Data Literacy Course is an excellent resource for improving your understanding and skills in working with data. The course is well-structured, covering important topics such as data collection, analysis, visualization, and interpretation. It uses interactive methods like quizzes and activities to keep you engaged and involved in the learning process. The instructors are knowledgeable and provide valuable insights and guidance. Whether you're an undergraduate student or someone interested in enhancing your data literacy, this course is highly recommended. It will equip you with essential competencies for handling and analyzing data effectively.

By Jasmin

Jan 27, 2024

I very much enjoyed this course. However, and this is not to be taken in an offensive way at all, sometimes, it was difficult to understand the lecturer due to accent differences, and the transcript of the lectures do not match what is actually being said, since the transcripts did not make sense grammatically. Other than that, this course was amazing and I am very happy to have taken it. :)

By Melisse C E

Mar 21, 2024

Data literacy refers to the ability to read, understand, analyze, and communicate data effectively. It involves the skills and knowledge required to work with data, including interpreting data visualizations, drawing insights, and making informed decisions based on data.

By Chris W

May 6, 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.

By KOUASSI K J L

Dec 28, 2023

J'ai bie aimé cette formation, elle m'ouvre l'esprit actuellement et j'ai hâte de découvrir ce que je saurai faire dans les entreprises plus tard.

By Saroj R

Nov 25, 2022

This course is really a awareness course regarding how to take care of personal Data as well as professional data.

By Fater B P

Jul 7, 2022

The couse help sin identifying real data and managing it

By VAIRAVASUNDARAM K N

Jan 23, 2023

Very Nice and Best Knowledge

By Vaishnavi P

Jan 23, 2023

It's very useful to me

By Melisse C E

Mar 21, 2024

Thankyou

By Noyel R

Mar 2, 2023

good

By Vignesh G

Jan 23, 2023

Good

By Mike M

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 Tamizharasan S

Jan 20, 2023

It's Very useful.

By Olamide A

Jan 23, 2024

Nice

By Hariharasudhan G

Jan 23, 2023

good