I taught two 8-wk courses this fall @JohnsHopkinsSPH and wanted to share the resources (built in #quarto!) in case others starting in #Rstats#DataScience find it useful
I want to say THANK YOU to all the individuals who wrote such great blog posts or vignettes about #rstats pkgs, the @thecarpentries for developing 🤩 material on #CommandLine and #Git, and @rdpeng who help develop much of the content from 1st class!
You are the true heros.
Also, I want to thank @lmwebr@BoyiGuo for each teaching a week in the 2nd class! I am very appreciative and both of you are wonderful educators.
Thank you to the amazing TAs -- Phyllis Wei, Yan Zhang, and Joe Sartini @jhubiostat -- who graded thoughtfully and helped field so many questions from students!
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First, the zoom meeting (pictured above) took place because of the visionaries @BhramarBioStat and Huixia Judy Wang, who conceived the idea of the COPSS Leadership Academy and brought it to fruition!
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The purpose of this award is to "recognize early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field".
First, I wrote a blogpost giving a few highlights about the Specialization, what someone will learn, and a bit about the instructors who built the series: @mirnas22@Shannon_E_Ellis@rdpeng and me! 👩🏫👨🏫
The first course, Introduction to the #Tidyverse, begins with what are "tidy" data, how this helps data organization, how non-tidy can be transformed to tidy data, the data science project life cycle, and an overview of the #tidyverse ecosystem!
@Bioconductor@naturemethods OSCA is a rich, reproducible, accessible (from beginners to experts!) resource with many #scRNAseq workflows & datasets. The resource is an online #bookdown book that compiles every night to track development by the open-source and open-development @Bioconductor#rstats community