| Proficiency Name | Proficiency Definition |
| None |
The learner has no experience in this field.
|
| Foundation level (Beginner) |
Learners are able to:
- Identify appropriate tools and big data sources within the context of their needs
- Understand different phenomena related to the choice of big data
- Recognise the usefulness and benefits of the application of data science/big data in certain contexts
|
| Practitioner level (Intermediate) |
Learners are able to:
- Utilise and apply appropriate tools and techniques based on the context of their needs
- Understand complex phenomena related to a specific research question using big data
- Apply different data science methods and tools to a variety of different contexts
|
| Expert level (Advanced) |
Learners are able to:
- Select and combine the appropriate big data methods and tools, based on the research question
- Develop and/or implement big data strategies related to big data acquisitions, methods and tools
- Be proactive and show leadership in a variety of contexts relating to the use of big data and data science
|