The aim of the course is to introduce students to the fundamental principles of Statistical Programming, with an emphasis on the analysis of quantitative and qualitative data from the field of Chemistry, using the open-source programming language R.
Upon successful completion of this course, students will be able to:
- Understand both the theoretical and laboratory components of the course.
- Understand why Statistics and Data Science is applied across all scientific disciplines
- Explore various areas of application within Industry 4.0 (Chemistry 4.0).
- Perform data entry and preprocessing of experimental data within the Integrated Development Environment (IDE) of RStudio
- Apply quantitative data analysis methods (such as descriptive statistics, exploratory data analysis, and correlation analysis) as well as data visualization techniques using the R programming language.
- Learn how to extract useful information hidden within raw data, which can then be transformed into knowledge for various research problems.
- Acquire the necessary skills to develop routines and functions for solving problems in Chemistry and the Life and Health Sciences, particularly those related to the quantitative analysis of experimental data.
Professors
Select to view more information about each course.
| Name | Title | |
|---|---|---|
| Nikolaos Mittas | Associate Professor | nmittas@chem.duth.gr |
