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1. A rough grip of what it actually is:
https://en.wikipedia.org/wiki/Bioinformatics
2. A few resource for initializing a foundation:
What is a bioinformatican:
http://blog.fejes.ca/?p=2418
Bioinformatics curriculum guidelines
(open-access):
https://doi.org/10.1371/journal.pcbi.1003496
3. A sample curriculum:
Introduction to Biology
Principles to Chemistry
CS - PYTHON
Principles of Computing
Calculus
Mathematics for CS
Biochemistry
Organic Chemistry
CS - OO Java
Introduction to Databases
Linear Algebra
Introduction to Linux
Descriptive Statistics
Genetics
Algorithmic Thinking
Probability
Cell Biology
Differential Equations
Biostatistics
Data Science
Inferential Statistics
Molecular Biology
4. Courses on Coursera:
https://www.coursera.org/learn/dna-analysis
https://www.coursera.org/learn/genome-sequencing
https://www.coursera.org/learn/
https://www.coursera.org/learn/comparing-genomes
https://www.coursera.org/learn/molecular-evolution
https://www.coursera.org/learn/genomic-data
https://www.coursera.org/learn/dna-mutations
https://www.coursera.org/learn/bioinformatics-project
Also,
Machine Learning, Deep Learning, Data Science, Sequencing, RNA-Seq, ChIP-Seq, Genomics,...
have their own topic for discussion.