Hi Bianca, I’m late to this, but can also recommend the material from my former colleague, Bernd Klaus, who used to work with Wolfgang Huber and teach (very well-received) training courses as part of his work with the Centre for Statistical Data Analysis at EMBL: https://www.huber.embl.de/users/klaus/teaching.html#statistical-methods-in-bioinformatics
So many great materials linked in the rest of this thread too - thanks everyone! Toby > On 11. Mar 2019, at 15:25, Bianca Peterson <[email protected]> > wrote: > > > Thank you SO much for all the resources and support. They decided to switch > to R! I can't express my gratitude enough. This amazing community is the > reason why I am so passionate about The Carpentries! > > On Mon, 11 Mar 2019, 16:13 Hugo Tavares, <[email protected] > <mailto:[email protected]>> wrote: > Dear Bianca, > > I agree with Paul's comment that "biostatistics" is a very broad thing to aim > for. > > From several years of doing R training to biologists (postgraduates, PhDs, > postdocs), I would say that a really important skill that seems lacking is > getting good at manipulating data and doing exploratory data analysis - in > other words, learning to ask questions from data. > > This is the essence of the "Data Carpentry with R" workshop: > https://datacarpentry.org/R-ecology-lesson/ > <https://datacarpentry.org/R-ecology-lesson/> > > Although it's called "ecology" lesson, it's really about learning principles > of "tidy" data structures, how to manipulate those data and visualise them in > a number of ways. I think getting people good at exploratory data analysis > is, by itself, very powerful, regardless of the field people later work on > (biostatistics or not). > > In any case, this tour de force from Susan Holmes and Wolfgang Huber might be > helpful to choose the focus for such a course: > https://www.huber.embl.de/msmb/ <https://www.huber.embl.de/msmb/> > (but it also illustrates how broad the field is) > > Regarding SPSS vs R, I would say that if the focus is biostatistics, the > existence of R/Bioconductor <https://bioconductor.org/> should suffice to > make a very strong argument for R. (plus learning a scripting language > encourages reproducibility skills as mentioned above, which I think SPSS does > not easily offer). > > Hope this helps! > hugo > > The Carpentries <https://carpentries.topicbox.com/latest> / discuss / see > discussions <https://carpentries.topicbox.com/groups/discuss> + participants > <https://carpentries.topicbox.com/groups/discuss/members> + delivery options > <https://carpentries.topicbox.com/groups/discuss/subscription>Permalink > <https://carpentries.topicbox.com/groups/discuss/T7aec92fdeda8ec4b-M7619734a9d5c1a35f8fb76d1> ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T7aec92fdeda8ec4b-M966f36587ddb4366edb5e901 Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
