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).
WC
The module were easy and understandable for something that may help us in future and be aware of what is good and bad.
MK
It enlightens the applicant on how data is managed since most of the times we are not in control
EP
It was really insightful and gives me more rooms to learn more on it
FP
The couse help sin identifying real data and managing it
YS
I really appreciate the unceasing support of Coursera
TP
The resources are so useful and easy to digest. Also for a person without big screen device I was able to get reading resources on the parts where my device couldn't open videos.
SA
Exceptiona with a lot of first hand information and reading tools
SR
This course is really a awareness course regarding how to take care of personal Data as well as professional data.
SY
It make learning easy because I do it at my convenient time
EA
Data literacy is the foundation for making smarter decisions, fostering innovation, and empowering individuals to navigate a data-driven world with confidence.
FT
This has really been an eye opener for me. and I have learned a lot about what data is.
AM
Very interesting, the resource men are highly intelligent
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This course is really a awareness course regarding how to take care of personal Data as well as professional data.
Great, awesome, fruitful, great learning process, thanks for making learning and studying this interesting
It enlightens the applicant on how data is managed since most of the times we are not in control
The couse help sin identifying real data and managing it
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.
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.
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. :)
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.
Data literacy is the foundation for making smarter decisions, fostering innovation, and empowering individuals to navigate a data-driven world with confidence.
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.
Thank you for equipping me with more knowledge which I will be able to apply it when required
Interesting course, the course provides insightful information or gives alot of detail of why data literacy matters and how it is so vital in our lives because in almost everything we do, since we use data to perform majority of our tasks. it was an eye opener; I learnt that how data is used can impact us both negatively and positively especially in sectors like healthcare and also to be more aware of how much personal information we give out on the internet.
Le concept de la formation est très innovant surtout pour les apprenants comme moi venant des pays externes à l’espace européen. Les supports sont adaptés et en adéquation avec les contraintes actuelles. J’aimerais qu’il y ait plus de traduction surtout pour les locuteurs non anglophones
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.
curso muy interesante, te abre la visiòn de lo que es la nevegacion en internet y explica la vulnearabilidad de nuestra informaciòn en intenet y cómo prevenir y administrarla. Cómo funcionan los algoritmos entre otras cosas.
It was very insightful and educational. Learning about computational thinking and computational social science enlightened me. This course allowed me to explore new knowledge beyond finance, and it was top-notch.
This course has equipped me with high level Google skills I recommend it to anyone , while believing we know how to use Google apps we can be surprised as to what more is there still to be learned 😀
The resources are so useful and easy to digest. Also for a person without big screen device I was able to get reading resources on the parts where my device couldn't open videos.
Data literacy matters because it helps people understand, evaluate, and use data responsibly and effectively in everyday life, work, and society.
This course has improved and impacted me with great and extraordinary knowledge with experience. Thanks to the MTN coursera.