Resources I often recommend
First, the OMGenomics YouTube channel in case you missed it:
- Conquering Data Analysis in R (plugging my own course here): An introduction to data analysis, plotting, data wrangling, statistics, and PCA in R for beginners. This is a paid course, but if you are looking for something free, I have an older course called Plotting in R for biologists that covers some of the same topics.
- Genomic Data Science Specialization from Johns Hopkins on Coursera. Within that specialization I especially recommend Ben Langmead’s course, and you can watch those videos on his YouTube channel too: playlist.
- Google’s Machine Learning Crash Course is great for learning the fundamental concepts in machine learning and using TensorFlow.
- VSCode for writing code/scripts (and where I’m typing this text for the website right now).
- iTerm2 as a replacement for the built-in terminal on Mac.
- So Good They Can’t Ignore You and Deep Work by Cal Newport. I always recommend these two books to anyone interested in creating a good career – so basically everyone.
- Range by David Epstein helped me appreciate the strengths of taking a winding path in my career.
- Cracking the Coding Interview helped me prepare for the interviews at Google. I have gotten similar whiteboard coding interviews at some biotech companies too, though it’s not as standardized or ubiquitous as at the FAANG companies.