Practical Data Wrangling
An online two-day workshop covering practical data wrangling techniques for numerical, categorical, time series, text, event/log, and image data will be organized by EuroCC National Competence Center Sweden (ENCCS) on 15-16 September 2026.
Data is essential in data-driven projects, as it forms the foundation for all subsequent analysis, modeling, and decision-making. Depending on the specific task, raw data may be collected from a wide variety of sources such as databases, APIs, sensors, logs, documents, or images. Before it can be effectively used for analysis or machine learning, raw data must be cleaned, transformed, validated, and organized into a consistent and usable format. As data comes in many different forms, including numerical, categorical, time series, text, event/log, and image data, the tools and techniques used for data wrangling can vary significantly depending on the data type and the requirements of the task.
This workshop is designed for data practitioners who regularly work with raw or semi-structured data and need to prepare it for analysis or modeling, data analysts, data scientists, machine learning engineers, and software engineers who want to strengthen their practical data preprocessing skills. It is also designed for graduate students and researchers working with real-world datasets who need a structured approach to data cleaning and transformation.
Each session combines concepts, demonstrations, and hands-on exercises using realistic datasets to help participants develop practical skills that can be applied immediately in downstream modeling tasks.