Data processing – organising a dataset

The holder of the micro-credential is able to/has knowledge of:

• Collect data from various sources and consolidate it into a single dataset;
• Prepare the dataset for analysis by cleaning, reducing, normalising, generalising or aggregating it;
• Verify and improve data quality;
• Group data using clustering and classification methods;

The holder has completed 24 hours of practical classes, 5 hours of individual consultation sessions.

The micro-credential was awarded based on supplementing the core project with the integration and merging of various datasets. This was followed by the creation of a comprehensive and automated data processing pipeline. Finally, at least two machine learning models were built and compared. The project culminated in the creation of an interactive dashboard designed to facilitate an accessible understanding of the data and support the decision-making process. The assignment served as a summary and practical culmination of the course material, as well as an opportunity to expand knowledge of additional functions using the Python language.

Number of ECTS credits: 1

Additional information:
The micro-certificate is part of the Computer Science degree programme, specialising in Artificial Intelligence.The classes were held in computer labs equipped with Python software.