Courses¶

Data Science Journal Club Course¶

Intended for students interested in learning more about data science and its applications to research, the course is 1 credit hour pass/fail and offered every session (Fall, Spring, Summer). The course is listed as GBSC 720-VTR JC- Data Science Club and sometimes also as IDNE 790-VTR JC- Data Science Club. Students are largely expected to lead their own journey, with instructors facilitating and offering advice. We expect a good-faith effort to learn and grow in the course and the course has most value when students step outside their comfort zones. There are three student-led demonstrations required to pass, where we expect students to demonstrate how they have learned and grown from their exploration of the material.

Some of the topics covered by past students include:

Learning to use High Performance Computing (HPC) resources
Learning software development good practices
Learning git and github
Learning data organization good practices
Jupyter notebooks
R Markdown notebooks
Data visualization
Data analytics
Data processing pipelines
Machine learning
Deep learning

The only prerequisite for the course is feeling comfortable using a computer. We are flexible with topics and welcome students of all levels of data science experience.

If you have questions about the course please feel free to reach out to Support.

Syllabus¶

The syllabus is available as a public webpage at https://s3.lts.rc.uab.edu/uab-rc-dsjc/syllabus.html, hosted on LTS.