Go to Course: https://www.coursera.org/learn/data-literacy-what-is-it-and-why-does-it-matter
**Course Review: Data Literacy – What is it and why does it matter?** In today's data-driven world, understanding how data influences our lives is more crucial than ever. "Data Literacy – What is it and why does it matter?" is a course offered on Coursera that provides insights into the multifaceted nature of data, exploring not only its technical aspects but also its social, ethical, and political implications. Whether you’re a data novice or a seasoned professional, this course aims to equip you with the necessary skills to navigate the world of data with a critical lens. ### Course Overview From the get-go, this course outlines a clear vision of what data literacy means. It emphasizes that data is not neutral; it embodies the values and assumptions of those who create it. Throughout the course, the impact of economic necessities, social structures, and algorithmic biases is dissected, revealing how they can lead to increased inequities in society. This is vital knowledge in an age where data shapes everything—from personal interactions to global frameworks. ### Syllabus Breakdown 1. **Your Life as Data** - This module begins with a personal examination of data collection practices, urging students to consider the breadth of information companies, such as Google, have about their online activities. Through this lens, participants will explore concepts like user tracking and data harvesting, gaining a comprehensive understanding of personal data management. The module also discusses the legal frameworks surrounding data protection, ensuring that learners are aware of their rights in data disclosure. 2. **Networked Data, Truth and Democracy** - Building off the previous module, this section investigates how data and algorithms shape public perception and societal dynamics. From the positive implications of sharing productive technologies to the darker side of data dissemination—such as the proliferation of hate speech—students will learn to track the impact of technology on human vulnerability and social structures. This module is crucial for anyone interested in the intersection of technology and societal change. 3. **Data-driven Knowledge Production** - The final module dives into the revolutionary changes that big data has brought to knowledge creation. This segment covers cutting-edge topics such as AI research, computational social science, and machine learning in education. By presenting real-world examples of how data shapes our understanding and capabilities, learners will gain insights into the implications of data-driven technologies for the future. This module encourages critical thinking and ethical considerations surrounding the use of data in various sectors. ### Why You Should Take This Course - **Empowerment Through Knowledge**: In a world saturated with information, being able to critically assess data can empower you to make informed decisions—both personally and professionally. This course fosters a critical understanding of data that is increasingly necessary in all fields. - **Relevance to Current Events**: Given the rise of misinformation, socio-political debates influenced by data, and the ongoing discourse around data privacy, this course provides a timely exploration of these pertinent topics, making it highly relevant for contemporary audiences. - **Diverse Perspectives**: The course discusses numerous perspectives on data, including ethical, societal, and technological viewpoints, ensuring that learners emerge with a well-rounded understanding of the data landscape. - **Professional Application**: For professionals in any industry, the skills and knowledge gained from this course will enhance your ability to leverage data responsibly and ethically in your work, ultimately benefiting your organization and society at large. ### Final Recommendations If you have a curiosity about data and its wide-ranging effects on society, "Data Literacy – What is it and why does it matter?" is a course that will not disappoint. It is thoughtfully structured, with each module layering additional knowledge and critical thought on top of the last. By the end of the course, you will not only have improved your data literacy but you will also be equipped to engage in conversations about data with confidence and nuance. Enrolling in this course could very well be one of the best decisions you make on your journey toward becoming a more informed and responsible participant in our data-centric world. Don’t miss the opportunity to gain a deeper understanding of something that impacts all of us, every day. Happy learning!
Your Life as Data
If you use Google and have a look at your Google Dashboard you will probably be amazed by how much data this company has collected about your online activities. Now think about all the other internet services, social media sites, and databases that may have a file on you, your health, your actions and inclinations. In this module, we will explore user tracking and information harvesting, define personal data and discuss the limits in managing your personal data disclosure. Consequently, we will present the legal framework for data protection and processing.
Networked Data, Truth and DemocracyIn this module we expand on Module 1 by looking at how networked data and algorithms affect the way we see the world. From global dissemination of best practices and life improving technologies to the spread of hate and radicalization, we trace the mechanisms by which data-driven technologies can add value to people’s lives, and how they can exploit human vulnerabilities.
Data-driven Knowledge ProductionBig data and novel computational methods have revolutionized the way we create knowledge. We will show by example how this knowledge is used and what it implies for the future of humanity. We look at AI-research, computational social science, machine learning and education, and through these examples, we will try to cultivate a deeper understanding of how data-driven technologies are shaping the social fabric, how they augment human capabilities, and may improve our stewardship of spaceship earth.
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 de
This course is really a awareness course regarding how to take care of personal Data as well as professional data.
The couse help sin identifying real data and managing 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.