> For the complete documentation index, see [llms.txt](https://time-series-features.gitbook.io/research-resources/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://time-series-features.gitbook.io/research-resources/advice/basic-up-skilling.md).

# Basic up-skilling

Computational Neuroscience and general skills

* [Neuromatch Academy: Computational Neuroscience](https://compneuro.neuromatch.io/tutorials/intro.html).
* [What is computational neuroscience? Written by the Rajan Lab](https://www.rajanlab.com/faq).

Dimensionality reduction:

* [Interactive tutorial on PCA](http://setosa.io/ev/principal-component-analysis/)
* [Stack Exchange explanation of PCA](https://stats.stackexchange.com/questions/2691/making-sense-of-principal-component-analysis-eigenvectors-eigenvalues/140579#140579)

Multiple hypothesis testing:

* [Brief explanation using R](https://www.stat.berkeley.edu/~mgoldman/Section0402.pdf)

Linear Algebra:

* [Introduction to eigenvectors and eigenvalues](http://setosa.io/ev/eigenvectors-and-eigenvalues/).
* A nice [twitter thread](https://twitter.com/TivadarDanka/status/1504751979729285122) on interpreting matrix factorizations, and associated [webpage](https://tivadardanka.com/blog/everything-about-matrix-factorizations) unrolling the tweets.

Plotting:

* [Visual vocabulary](https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary)
* [Data visualization rules](https://www.data-to-viz.com/caveats.html)

Time-series Analysis:

* [Takens Embedding](https://www.youtube.com/watch?v=6i57udsPKms)
* [Fourier analysis](https://www.youtube.com/watch?v=spUNpyF58BY)
* [The Fourier transform](https://www.youtube.com/playlist?list=PLn0OLiymPak28kNU6D_nkUBebb5LRj3E5)

Learning brain anatomy:

* Interactive guide to brain regions and their function is in the [Virtual Brain Atlas](https://www.brainsimulation.org/atlasweb/).

#### In-person training

* [Free training courses](https://informatics.sydney.edu.au/training/) run by Sydney Informatics Hub, NSW.
* Graduate research students should attend Research Bazaar, [ResBaz](https://resbaz.github.io/resbaz2018/sydney/) for basic training in modern research methods.


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