COURSE OVERVIEW
The Efficient Data Processing training is a hands-on course designed to help participants accelerate their data workflows. Processing large, complex datasets often takes significantly more time than data collection, but this course demonstrates how Python can streamline these tasks for faster analysis and interpretation. This course will be given by experts from elegent, a spin-off company from Ghent University offering modelling services for the pharmaceutical and food industries.
Through case studies focused on pharmaceutical R&D manufacturing, participants will learn to clean and transform data using Python modules like numpy, pandas, and scikit-learn, along with visualization tools such as matplotlib, seaborn, and plotly. The training integrates theoretical background with practical application, making it especially relevant for scientists and academics in R&D.
By eliminating repetitive tasks, optimizing workflows, and enabling visual analysis of experiments, this course equips participants with tools to enhance efficiency in data processing.
Target Audience
The target audience is professionals or students in chemical, pharmaceutical & healthcare sciences and engineering.
Please note that a basic understanding of the Python programming language is required.
COURSE PROGRAM
A detailed overview of the different modules can be found in the following document.
If you are interested in taking this course, please email Maarten (mgadbruy.debruyne@ugent.be).