If every time that the guy who wrote the p-value paper got a citation he
would have over 3 million citations, which would make it
the most highly cited paper in the history of any scientific discipline.
So statistics is incredibly important and
I hope that you've learned enough about it to get you sort of started and get you
excited on your journey towards being a statistical genomic data scientist.
So there's a lot more to learn that what we've covered in these four weeks.
Obviously we had to move pretty quickly to get through all the material in that time.
But here's a couple of other things that you could go check out.
There's an Advanced Statistics for
Life Sciences course taught by one of my buddies, Rafa Irizarry.
And you should go check that out if you have liked what you learned here and
want to learn a little bit more.
You could also take the other classes in the genomic data science specialization,
or the classes from the Johns Hopkins data science specialization which focus
more on basic statistics.
Which you might want to learn about more if you're kind of into the stuff that
you've learned in this class.
So finally, I'd just like to thank you for sticking around.
And I hope you've enjoyed the class, and good luck with your genomics career.