Efficient Data Processing Using Python
Description
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.
Programme
- Extracting the relevant data from log files
- Processing a large number of files in a loop
- Dataset merging: e.g., linking process information to the corresponding quality attributes
- Interactive visualization for repetitive experimental measurements
- Repetitive visualization for efficient outlier removal
- Threshold selections for efficient outlier removal
Remarks
Additional information
- One week prior to the course, the registered participants will receive further information (directions, parking availabilities, course material).
- Upon completion of the training, a certificate of attendance will be made available on the platform.
- Additionally, the participant will receive an evaluation form to provide feedback on this training.
Annulation/Cancelation
Registration is possible up to one week before the day of the respective session.
Registrations can only be canceled by email, up to one week before the day of the respective course. After that, the full registration fee will still be due in case of cancellation.
A participant unable to attend can always be replaced by a colleague or can request a voucher for a similar training on a later date!
A minimum attendance of 5 participants is required to conduct the training. Otherwise the organization reserves the right to reschedule or cancel the training!
