The ODIs Data Literacy Hub:
Data Literacy for all!
A comprehensive suite of micro-courses designed to help you upskill in data literacy and empower you to navigate the data-driven future with confidence.
Why Data Literacy Matters:
To put it simply,
- It enables businesses to make informed decisions
- It helps organisations manage risk and capture opportunities
- It improves efficiencies
- Data is the backbone of AI. ‘Without data, there is no AI’
- All industries need data-fluent professionals
- Data impacts all roles and individuals in society
Our Micro-Courses
These short self-paced courses cover many aspects of the Data Skills Framework providing insight into various themes and topics from unlocking value from data to innovating with data, building confidence with data to managing risk, bias and fairness in data & AI, to the importance of transparency and explainability in data.
Created by a team of data specialists and learning designers, our micro-course will guide you as you turn theory into practice, and as you step-up to play a strategic role in helping your organisation get value from data.
Building a Healthy Data Ecosystem
- Upskill in the foundations of data and learn how to embed a robust and efficient data infrastructure.
- Learn how to unlock the full value of data so that your organisation is primed for success.
Organising and Validating Data
- Learn best practices to clean data, improve its quality, accuracy and reliability.
- Gain confidence in working with and managing data.
- Gain hands-on experience structuring data and engage with our AI assistant tutor for instant feedback on your work.
An Introduction to Data Analysis
- Learn the basics of how to analyse data.
- Evaluate data from different sources ensuring quality.
- Acquire skills to extract meaningful insights from your datasets.
Telling Stories with Data
- Develop the ability to communicate complex data findings effectively.
- Craft compelling narratives using visualisations and storytelling techniques.
The Foundations of Ethical Decision Making
- Explore different ethical frameworks, their strengths, their weaknesses and application to AI
- Learn how to navigate ethical challenges through a principled step by step SAD-AM model.
- Explore the inescapable presence of bias and break the boundary between ethics and law.
- Ensure inclusivity, ethical growth and organisational impact.
Legal and Regulatory Frameworks
- Learn about the pivotal regulations that exert influence across all phases of the data lifecycle, with a particular emphasis on emerging AI regulations.
- Understanding the legal and regulatory frameworks that govern data practices to ensure compliance.
- Understand the purpose of data licences, interoperability and the importance of transparency to maintain trust.
Ethics and Personal Data
- Develop the skills to handle personal data responsibly.
- Investigate data anonymisation techniques: how to mitigate the risks whilst maintaining the utility of data.
- Gain hands-on experience in handling sensitive information and engage with our AI assistant tutor for instant feedback on your work.
Ethics in Data Collection
- Explore ethical practices in the collection of data.
- Equip yourself with the knowledge and tools necessary to navigate the intricate terrain of data collection with ethics and integrity.
- Evaluate the sources of bias during data collection and mitigation strategies.
Bias and Fairness in Data and AI
- Develop skill to ensure that algorithms that process data are “fair”.
- Develop your understanding of bias in data and algorithms and actively identify instances of bias in real-world datasets.
- Uncover the impact and consequences of bias in data and artificial intelligence.
Transparency and Explainability in Data
- Explore key aspects of building trust in data practices and AI models.
- Implement techniques for developing AI models that are explainable and interpretable.
- Examine existing ethical guidelines and frameworks that promote transparency and explainability and how this can be embedded in your organisational context.
Tools and Frameworks in Evaluating Ethical Data Practices
- Explore practical tools and frameworks to assess and enhance ethical data practices.
- Get hands-on experience with our Consequence and Risk Evaluation (CARE) tool and implement ethical data evaluation seamlessly into your workflows.
- Address the possibility of unintended consequences arising from AI deployment.
Inspired by data pioneers, built for you
At a time when businesses are trying to get value from AI and data it’s more important than ever to understand the landscape, filter out the noise and set a clear direction.
The Open Data Institute is a world-leading research and training institution founded by the creator of the web, Sir Tim Berners-Lee, and AI pioneer Professor Sir Nigel Shadbolt. Our research, training and practical work helps people, companies and governments build data infrastructure that benefits all.
More than 52,000 people worldwide have developed their data literacy using the ODI’s self-guided training.
Would you like to develop data skills across your whole team or organisation?
Our courses can be run for groups of up to 14 people. And, we can tailor our content to your context and needs. We can work with you to identify the data skills required across your business, creating training that meets your organisation’s needs. Our training approaches include: E-learning, Interactive and virtual workshops, Games and Blended learning programmes.
Contact our Data Skills Experts to discuss how we can improve your organisations data literacy.