Reddit reviews R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics)
We found 2 Reddit comments about R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics). Here are the top ones, ranked by their Reddit score.
Used Book in Good Condition
I am a book guy myself. Ebooks to be specific. I really liked the R is for everyone http://www.amazon.com/gp/aw/d/0321888030?pc_redir=1405401911&robot_redir=1
Pick one and stick with it. I really just recommend R for a number of reasons but Python is also a good choice just R works for me.
You need a personal project to work on. Mine was an end of the year report.
OP, it's great that you're recognizing this need early! I was in the same position as you (0 programming experience), so perhaps I can offer you my strategy:
I started off learning R, because a lot of biological data analysis packages have already been written for it (see Bioconductor, http://www.bioconductor.org). R and it's corresponding IDE (RStudio) are easy and free to download:
http://cran.us.r-project.org
https://www.rstudio.com
For a super basic introduction to R (this will take you only a few hours), see Code School's 'Try R' tutorial:
http://tryr.codeschool.com
All Bioconductor packages come with a reference manual and sample data that you can use to practice. Also, most have a corresponding publication that explains the algorithm/stats behind it. I just went through and picked a few packages that seemed like they would be useful for the type of data my lab analyzes.
When I finished going through those and running practice data sets, I decided I wanted to actually learn R from scratch so I could understand what each function does. To that end, I bought a few O'Reilly books:
Learning R (http://shop.oreilly.com/product/mobile/0636920028352.do)
R for Everyone (http://www.amazon.com/gp/aw/d/0321888030?pc_redir=1398333875&robot_redir=1)
I've been dedicating my Mondays to going through the books, chapter by chapter, and doing all the exercises. It's been really helpful, and I'm finding it easier and easier to understand the Bioconductor packages.
Finally, I enlisted some other grad students that had no experience but also wanted to learn, and together, we started a weekly meetup in which we each select and demonstrate a Bioconductor package. This basically forces us to keep up with learning and master the packages, since we don't want to lose face :)
Next, I'm planning on diving into Python, but for now, learning R has proven very useful.
Hope this helps a bit, and good luck!