Data Science Skills for Research Project
Lead institution: University of Nottingham (Researcher Academy)
Country: United Kingdom
Project primary contact: Ola David (ola.david@nottingham.ac.uk), Data Science and Digital Skills Delivery Manager
Project Title: Data Science Skills for Research Project
The project is: In progress
Project Summary:
I was hired on secondment to the researcher academy of the university to create a programme of courses around data science and digital skills to improve research outcomes and empower our researchers with transferrable skills.
We decided to split the programme into 4 logical parts. 1. Statistics in research (hypothesis testing, probability, distributions etc). 2. The policy and practice around data handling (privacy, data engineering, bias,) 3. Tools for data analysis/ML/AI (Excel, R, Python, Tableau, Power BI) 4. The cutting-edge AI or user-friendly AI tools (Generative AI, AutoML) So far, I have used generative AI to assist in creating a few of these courses.
One thing I must point out is that there are some prerequisites to the effective use of generative AI for course content creation. One must first understand the subject matter to a reasonable extent – I’m able to do this because I’m comfortable in this domain, I wouldn’t attempt to create a course on a topic I’m unfamiliar with. Secondly, one must understand the fine points of prompt engineering, or run the risk of spending more time than if they had just created the course manually.
Impact: To provide our researchers with data science/Al skills and digital skills for better research outputs and to aid employability.
Audience: All classes of researchers at the university.
This output is part of a member project - AI Garage: Creating the Future Now which collects and curates cutting-edge practice examples of AI. You can explore other submissions here.