In this article, I would like to share with you the resources I’ve spent hours searching for in order to save you some precious time so that you can get started as fast as possible.

Some of these resources I’ve tried, some others I am willing to, so there is no guarantee what-soever in the quality of the content.

  • Genomic Data Science Specialization By the Johns Hopkins University on Coursera.
    • I am enrolled in this specialization and already earned four certificates, I suggest it for the following reasons:
    • The instructors: they include Steven Salzberg, James Taylor, Ben Langmead and many other big names of the field. You may not be familiar with them at this point, but they are all well recognized in the community and definitely people to follow.
    • The courses are beginner-friendly but not easy enough to make you feel bored: If you have no prior coding experience, you will easily follow up. If you have some basic coding skills, you will also get challenged from time to time.
    • The community: You will always find someone to help you if you get stuck at any point.
    • The courses of the specialization build up on one another: It's something I really enjoyed, it helps you keep your memory sharp.

      • So it's definitely a course I recommend if you want to learn about high-throughput technologies, and programming skills needed for Genomic Data Science. The only con I find to this specialization is that some of tools that are taught are outdated - only 2 or 3 don't freak out- but it's good to remember that it's a field that grows really fast so tools getting outdated is pretty casual.

  • Data analysis for life sciences I am currently enrolled in this course as well, and I am really enjoying it. In this specialzation, you will learn key concepts and methods of data analysis using the r language. The courses are taught by two other big names of the field: Rafael Irizarry and Michael Love. I highly suggest this courses.
  • Talking about Rafael Irizarry, he created a github repo where he pointed at many other resources I am willing to try as soon as possible.
  • Another github repo containing a myriad of books, interactive courses and video courses.
  • The Rosalind project it is a platform for learning bioinformatics and programming through problem solving. A very good place to start learning python programming and algorithms for bioinformatics.
  • Maria Nattestad youtube channels: I haven't tried these tutorials yet, but everyone says there pretty awesome, check out the "Plotting in R for Biologists" coure here.
  • I am willing to try the tutorials offered by Data professor on Youtube, I stumbled upon his channel recently and he seems to be providing exciting content. A must-try!

So that’s about it, I hope you will be able to find the right course for you. If you have any suggestion about another course, coding-playground or specialization, feel free to share them in the comments.