Data and Code Management

Welcome to the website of Data and Code Management: From Collection to Application, a course offered in the Master in Business Analytics at HEC Lausanne during the autumn semester 2025.

This course equips students with the foundational tools and best practices of modern data science, focusing on how to collect, manage, analyze, and share data in a reproducible and collaborative way.

Throughout the semester, students will explore:

• Programming in R and Python for data wrangling, visualization, and modeling.
• SQL and database management, essential for business analytics and large-scale data handling.
• Version control with GitHub, enabling collaboration and transparent workflows.
• Reproducible research using Quarto and Jupyter Notebook.
• Software engineering practices in data science (functions, testing, packages, documentation).
• Modern tools for communication and application, including Power BI dashboards, Shiny apps, and Python web apps.
• Large Language Models (LLMs) as assistants for coding, documentation, and analytics — used critically and responsibly.

By the end of the course, students will be able to:

• Build and document reproducible data pipelines across R, Python, and SQL.
• Create and share interactive applications (Shiny, Streamlit, Power BI).
• Manage projects and collaborate effectively using GitHub.
• Package their work as professional deliverables — from code libraries to dashboards.
• Critically integrate AI-powered tools into their analytical workflows.

This course emphasizes hands-on learning and project-based application. Students will work in teams to develop a complete analytics project — from raw data collection to a polished, interactive presentation.