Introduction
Elevate your data literacy with this exclusive short course! Are you ready to supercharge your academic research and turbocharge your career? This upcoming data literacy short course is your ticket to success! 🌟
Key Facts & Figures
- Type
- Course
- Duration
- 4 days
- Instruction language
- English
- Mode of instruction
- Offline
- Fee
- None
What will you achieve?
- Design research projects following the five stages of the data life cycle
- Collaborate within and between disciplines and stakeholders
- Provide solutions for challenges using data
Course dates
| Wednesday 31 Jan 2024 | Time: 13:00 - 17:00 Session 1 |
| Friday 2 Feb 2024 | Time: 13:00 - 17:00 Session 2 |
| Wednesday 7 Feb 2024 | Time: 13:00 - 17:00 Session 3 |
| Friday 9 Feb 2024 | Time: 13:00 - 17:00 Session 4 |
Why you should join
Data rules the world, and this course empowers you to conquer it. Whether you are striving for academic excellence or career advancement, we provide the tools to excel in both realms.
Course highlights
The data life cycle as a dive deep into all five stages:
- 📥 Data acquisition
- 🧹 Data cleaning
- 🔄 Data use and re-use
- 📊 Data publishing
- 🗄️ Data preservation and destruction
The short course is delivered through a mix of video and live lectures and hands-on practicals. It consists of four sessions and each session requires roughly 2 hours of preparation. Participants will work on a group project, and participate in interactive discussions to develop a well- rounded understanding of the challenges and solutions within the data life cycle. After completion of the course, participants will receive a certificate of attendance.
Who should attend
This master class is tailored for master's and PhD students, as well as academic professionals. Whether you are climbing the career ladder or refining your research, including your thesis, this course is your pathway to success. We especially encourage enrolment for those with experience in data analysis, since we do not teach any statistical basics and the groups work will rely on some (basic) analysis skills.
Inclusive learning: We foster an inclusive environment where your active participation is encouraged.
Course intructors
Samare Huls and Frederick Thielen
- Email address
- data-literacy@eshpm.eur.nl
Read more about Samare and Fredericks' CLI Fellowship
Facts & Figures
- Fee
- None
- Tax
- Not applicable
- Duration
- 4 days
- Offered by
- Community for Learning & Innovation
- Course type
- Course
- Instruction language
- English
- Mode of instruction
- Offline
- Location
Erasmus Education Lab
Registration
Signing up is no longer possible. If you want to be involved in teaching (future versions of) the course, or want to stay up-to-date with the latest development of the course, please email data-literacy@eshpm.eur.nl.