This section provides development courses to support with Information, data and media literacies.
Information literacy is your ability to find, evaluate, organise and share information, whether you are using it for learning, research or professional purposes.
Information specialists recommend we are creative in how we find information, but critical in how we judge its value and credibility. It can be useful to have a broad understanding of information-based practices such as copyright, referencing, and avoiding plagiarism.
Examples include:
Here at the University of Derby Library we have developed a framework which outlines five key pillars of information literary: Prepare, Discover, Question, Manage and Communicate. These pillars cover the core information literacy skills you need to develop as you progress through your programme of study and into your future career. While each skill is individually important, understanding how they fit together is essential to becoming information literate.
You can find more information about the framework and as well as tools to help you develop your skills on the What is Information Literacy? guide.
Here are some courses to enhance your information literacy:
Data literacy is how you handle data as a special form of information.
Data is used in diverse ways within any organisation, from specialist professional use (eg research) to operational data informing a range of organisational activities.
Digital personal data is used in all areas of our lives. We all need a basic understanding of legal, ethical and security aspects when providing our own data or when handling data about someone else.
Examples include:
Some courses to enhance your data literacy:
Introduction to Career Skills in Data Analytics
Data Ethics: Making Data-Driven Decisions
Database Foundations: Data Structures
Presenting Data Effectively to Inform and Inspire
Data Ethics: Watching Out for Data Misuse
Picking the Right Chart for Your Data
A Day In The Life of a Data Scientist
Data Analytics: Graph Analytics
Introduction to Data Warehouses
Hands-On Introduction: Data Engineering
How to Use Data Visualization to Make Better Decisions—Faster
Insights on Data Science: Lillian Pierson
Data Science Foundations: Choosing the Right Database
CompTIA Data+ (DA0-001) Cert Prep: The Basics
CompTIA Data+ (DA0-001) Cert Prep: Domain 1.0 Data Concepts and Environments
CompTIA Data+ (DA0-001) Cert Prep: Domain 2.0 Data Mining
CompTIA Data+ (DA0-001) Cert Prep: Domain 3.0 Data Analysis
CompTIA Data+ (DA0-001) Cert Prep: Domain 4.0 Visualisation
CompTIA Data+ (DA0-001) Cert Prep: Domain 5.0 Data Governance, Quality, and Controls
Data Science Foundations: Data Mining in R
Data Analyst Mindset: 10 Nontechnical Ways to Influence Decisions
Actionable Insights and Business Data in Practice
Learning Data Science: Ask Great Questions
Data Analytics for Business Professionals
Media literacy covers all the ways you receive and respond to messages in digital media.
This includes text, graphics, video, animations, audio, and media such as websites, simulations and games. Most of us also share and produce messages of our own, and that means we need to understand issues such as audience, accessibility, user design and impact. Media users need to ask why messages are designed as they are, how they affect us – and particularly how different media can be used for learning.
We also need to understand issues around ownership of digital media such as copyright, referencing, and avoiding plagiarism.
Examples include:
Some courses to increase media literacy: