Where to continue?

Last updated 3 months ago

Here I'll gather some relevant links to further resources. I think these are good, but they're also somewhat of a random selection.

Term glossaries:
General course lists:
Tools and data processing:
The programming humanist:
- , the best introduction to programming for humanists that I could find
- , lessons and tutorials for doing various DH things
- , a nicely built general, interactive introduction to programming
On visualisation:
- (a good introductory book on choosing suitable visualisations for highlighting different aspects in data, and avoiding pitfalls in tuning them)
- (starts with a good chapter organised around general principles, but then continues with very down to earth practical instructions on how to plot stuff using ggplot2 in R. This is very useful, but doesn't cover the general view on different graph types and their usefulness. Thus, a very nice complement to the book before)
On statistics and computational data science:
- , a very good and clear resource introducing both statistical concepts, as well as how to apply them in practice in R and Tidyverse. An excellent follow-up to the introduction in this course.
- , an excellent alternative simple introduction to core statistical concepts
- at the University of Helsinki
- , an excellent introduction to statistical analysis with interactive Python notebooks
- book
- , a good general-purpose book introducing different types of humanities data analysis
Further resources to go through that may cover bits and bobs missed by the above:

Last updated 3 months ago