You can definitely find a lot of good resources online though. I am currently using some linkedin learning courses, but I doubt your school has access to that. A lot of bioinformatics tools are best optimised for linux (I think), and that's why it's a good idea to learn how to use Linux commands and understand simple scripts. Learn BASH scripting (Optional): BASH is the bourne-again shell, and it is the command line interpreter for linux.The fact that the book uses R definitely helps because it allows you to apply what you learnt from point 1 to real-life data sets. It's definitely a good read, and it's quite simple. This book introduces the major machine learning/statistical learning techniques used in data science and guides you through their implementation in R. Learn the basics of machine learning: For that, I would recommend this textbook.If you want to dive deeper into R, then I would recommend this textbook. Alternatively, if you want to learn R, this online course is also a great starting point. If you want to learn python, This is a great online course. However, I am currently using R for data analysis as it is vastly superior in terms of simplicity of data visualisation and statistical analysis. I personally learnt python as an intro to programming. Python is great for data science and general programming whereas R is mainly focused on data science. Learn a coding language for data science: The two main coding languages here are R and python.If you want to get into bioinformatics, here is what I recommend: Therefore, a lot of the tools and analyses you use in bioinformatics will also be relevant for other fields, such as business, marketing, etc. Bioinformatics really involves the use of data science and machine learning tools to analyse biological data. It's definitely great that you are taking the initiative early.
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