The UCSD bioinformatics algorithms courses on Coursera are fantastic: https://www.coursera.org/specializations/bioinformatics
Open Source Projects/Platforms:
ADAM (Big Data Genomics, code-base I think worked currently by UC Berkeley AMPLab and Microsoft Research group focused on cancer research) https://github.com/bigdatagenomics/adam/labels/pick%20me%20u...
BioConductor (R package that is very popular for crunching different genomic analysis, RNA-Seq) https://www.bioconductor.org/developers/
Galaxy (Platform for reproducible genomics workflows in the cloud) https://wiki.galaxyproject.org/Support
Public Available Data Sets:
Cancer Genome Atlas (contains expression data for different kinds of cancer) http://cancergenome.nih.gov/
NCBI Short Reads Archive (contains the genome assembly of a lot of published papers): https://www.ncbi.nlm.nih.gov/sra
European Nucleotide Archive: http://www.ebi.ac.uk/ena , e.g.,
For a recent major paper, "The Simons Genome Diversity Project: 300 genomes from 142 diverse populations"; you can grep for "accession code"( http://www.nature.com/nature/journal/vaop/ncurrent/full/natu... ), follow the link and download the whole raw assemblies of all samples here: http://www.ebi.ac.uk/ena/data/view/PRJEB9586
NYGC, JCVI, CRB, Sanger, BGI, Broad, NIH, NCBI, Janelia Farm; any research group in universities; any informatics job at pharmaceutical or pharma startups.
My all star lineup would be:
The Analytics Edge - https://www.edx.org/course/analytics-edge-mitx-15-071x-0
Design of Computer Programs - https://www.udacity.com/course/design-of-computer-programs--...
If I had more time I would love to go through the bioinformatics specialization on Coursera. They have 2 books and an exercise site (rosalind.info). It looks like great fun.