Python for Data Management I

Develop practical skills for building reproducible data processing workflows and simple data-driven web applications using Python. Through collaborative, hands-on exercises, this module introduces students to the different stages of a data pipeline, from data acquisition and transformation to feature extraction and visualization. Students will also explore the fundamentals of web back-end development and learn how Python applications can retrieve and process data from external services through REST APIs.

Key topics

• Building collaborative data processing pipelines with Python and GitHub
• Reading, transforming, and exchanging data using formats such as JSON
• Feature extraction, data processing, and visualization
• Fundamentals of Django and back-end web development
• Accessing and processing data from external sources through REST APIs

Learning Outcomes

• Design and implement a simple data processing pipeline in Python
• Collaborate on a modular data workflow using GitHub
• Process, transform, and visualize data using Python
• Understand the basic principles of Django and web back-end development
• Retrieve and integrate data from external services using REST APIs