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]>
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/
>
> 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/
> (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
>
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