Applied Computational Genomics Course at UU: Spring 2017 by Aaron Quinlan.
Both of which are too elementary for you but something you can pass onto others. They do give you an idea of the Unix skill level required for the rest of the course.
From the GitHub page:
This course will provide a comprehensive introduction to fundamental concepts and experimental approaches in the analysis and interpretation of experimental genomics data. It will be structured as a series of lectures covering key concepts and analytical strategies. A diverse range of biological questions enabled by modern DNA sequencing technologies will be explored including sequence alignment, the identification of genetic variation, structural variation, and ChIP-seq and RNA-seq analysis. Students will learn and apply the fundamental data formats and analysis strategies that underlie computational genomics research. The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses. (emphasis in the original)
I take it successful completion will also enable you to intelligently question genomic analyses by others.
The explosive growth of genomics makes that a valuable skill in public discussions as well something nice for your toolbox.