The Course Scientific Data Handling and Programming will give you the ability to form research questions and test your hypothesis with data keystone skills in science. This course will equip students to understand data collection and analysis in the context of research. The course Scientific Data Handling and Programming will be a practical guide to completing data collection and analysis for research with a “hands-on” approach.
Fundamental skills in R, Python, GIS, and other relevant computer programming languages will be discussed as tools to extract knowledge from the data. The statistical theory will be discussed in the context of problems students will encounter throughout the course to assure a comprehensive understanding without being overwhelmed.
Scientific Data Handling Key Facts
Open to all/Understanding level.
2 hours per lecture + 1 hour assignment per week.
10 students In-classroom and 25 in a Virtual Classroom.
Tuesday Evening and Saturday
€1000 (Early Bird Registration 20% off).
Scientific Data Handling Modules
- Understanding experimental design
- Understanding the data required to answer questions
- Learning data collection methods
- Building a database
- Reading and writing data
- Understanding dataset curation
- In class exercises
- Research mini-project on a topic chosen in class