SUMMARY: Check calendar for Free “R” and “Python” workshops (Steenbock Library.) “Introduction to R with RStudio,” “Data Wrangling in R” (SSCC – Social Science Computing Cooperative.) “Automating Tasks with the Unix Shell,” “Data Management with SQL,” “Introduction to Docker” (Software Carpentry through UW-Madison Data Science (fees apply).)
R
Tabular data analysis with R and Tidyverse
Does data analysis feel like the impossible job of “catching the moon?”
Fortunately R and RStudio are great tools to analyze data and illustrate conclusions, while at the same time keeping records and create “live” documents that can be updated with “just one click.”
The material is written in a way that is conducive to “learn by doing” following demonstrations and examples. All code and all necessary materials and files are available and therefore it is possible to learn and acquire proficiency on one’s own with this course content.
Covid-19 Coloring Book and PyMOL scripts book
Update 1: reported in the CALS eNewsletter on April 17 [Archived May 2, 2020] Update 2: I compiled a table with more Covid-19 coloring books from other inspired sources. Friday, April 10, 2020 (“Good Friday”) …
R courses and tutorials. Classic, Tidyverse, Data Wrangling, ggplot2
This is a list of R material that I found online that I think can be useful as reference or as working material to learn R / RStudio / Mardkown. I’ll try to separate the …
TableConvert.com – free tabular data formats converter
Tabular formats When I first came to Madison in 1986 as a postdoc with Biochemistry professor Paul Kaesberg to learn cloning and sequencing, I was surprised when he said that the most important program to …
R/Python/Reproducible Research Workshops on Campus – Winter 2020
Winter 2020 Programming Workshops on Campus In the past years I have offered python 3, R, and RStudio workshops within the Biochem Department (see links below.) R is both a language and a software environment for …
Bioinformatics – which computer language should I learn first?
In the past years I have focused on what seemed to be the most useful bioinformatics tools for biologists that need to analyze data with software that does not have a graphical interface. The final …