Linux Essentials: The core command-line utilities needed to handle massive FASTQ/FASTA biological files without crashing the system.
Python/R for Bio-Data: Writing short scripts to parse sequences, clean multi-omics datasets, and automate workflows using Pandas or Biopython.
Data Visualization: Micro-lessons on plotting publication-ready genomic variations or differential gene expressions using ggplot2 or Matplotlib.