17 August 2018
Chemometrics: Introduction to Advanced Data Analysis
During your chemical career, you will generate a lot of data. Only with advanced data analysis methods can this data ‘tsunami’ be made insightful and interpreted further. During the course you will be introduced to the most important chemometric data analysis methods currently available and how they may benefit interpretation of analytical chemical data.
Analytical chemical instruments can record massive amounts of data in just a small fraction of time, which need to be analysed for instantaneous management decisions. Such volumes of data need to be processed by advanced data analysis methods. The power of such methods lies in their multivariate nature. For example, an infrared spectrum may consist of a thousand absorbances measured at different wavelengths. While traditional data analysis methods focus on analysis of each wavelength separately, advanced chemometric methods focus on the entire spectrum at once, thereby taking much more information into account.
The research field of chemometrics focuses on the development and improvement of advanced data analysis methods for the analysis of chemical data, including e.g. the removal of instrumental artefacts by data pre-processing, the prediction of sample properties, and comprehensive assessment of significance by validation.
During this course, you will become familiar with the most commonly used chemometric data analysis methods. These include tools for exploratory data analysis (e.g. Principal Component Analysis, PCA), as well as for clustering, classification, and regression (e.g. Partial Least Squares regression, PLS). Each subject will be introduced with a lecture, after which you will gain hands-on experience with the tools during (computer) exercises. The focus will be on interpretation of the results, rather than an extensive theoretical background. Internationally renowned chemometricians from the Analytical Chemistry department at Radboud University will introduce state-of-the-art chemometrics.
Throughout the course, guest lecturers will present a range of cases where chemometrics is used in industry, in government, and in the hospital. Relevant data will be provided during the course.
Dr. Jeroen Jansen
(Acting) Head of Department
Advanced Bachelor, Master, PhD, Postdoc, Professional. This course is aimed at a wide range of applicants from the field of natural sciences, e.g. advanced bachelor students who want to pursue data analysis in their masters; master students who want to do a PhD in which data analysis will play a key role; and PhDs, post-docs and professionals who already have data available and want to gain experience with data analysis.
After this course you are able to:
1. Interpret the results of different chemometric methods
2. Properly perform advanced data analysis, including pre-processing and validation
3. Integrate chemometrics in your own chemical studies or research
EUR 500: Course fee for students. The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
EUR 900: Course fee for professionals. The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
We offer several reduced fees:
10 % early bird discount – deadline 1 April 2018
15% partner + RU discount (15%)
25% early bird + partner + RU discount (25%)