Data Science Toolkit and Applications
Students apply best practices in software development to data science workflows, and design and implement end-to-end data science projects using industry-standard tools.
The curriculum spans data analysis fundamentals and exploration, a complete data science pipeline implementation, and natural language processing applications. Evaluation centers on a machine learning case study submitted as a public GitLab project, which serves as portfolio material for ongoing studies.