(Updated: June 15th, 2021)
Here I list some useful tutorials, links and other materials for learning some dataviz, data analysis, statistics, bioinformatics, network science, etc.
Presenting your results in a visual appealing manner is as important as your analysis. Follows a couple of sources of how to make different visualizations - and mainly - when to use them 😄.
- From Data to Viz.
- Shows the most correct way to DataViz
- Has examples in R and d3. <3
- Vega and d3
- Color Scale for diff viz type
- Data Vis with R - Book
Analyse your data, perform the right hypothesis testing, use the right model, learn how to do inference in the right way:
- Not deep, and much more on the application side, instead on the theory.
- Quite useful for basic stats
- Basic tools for DS.
- A pretty cool and decent book on Inference and DS
- A very very gentle intro to GLMs
- From Prof. Gilberto de Paula.
- The best tutorial on GAMs <3
- The package webpage. With tons of examples.
Learn Network Science.
- Massive repo on many tools for NetSci.
- Interactive Networks (useful for shiny)
Bioinformatics basic tools.
- A Gentle Intro to NGS
- Another intro for NGS
- And… another
- RNAseq Workflow
- Diff Expression
- A Tutorial for PEB2020
- Michael Love Tutorials
- Yes, his tutorials are always great.
- How to create trees
- MUSCLE webpage
- Tool for creating the aligment & trees
- Tutorial from EVOLUTION AND GENOMICS
- Plot Trees
Some brief tutorials to learn R.
- Is it your first time using markdown? Check this short tutorial
- Improve the Rmd skills
- Making your md pretty using Distill
Make your results interactive. And shine ✨
- Posted on:
- January 1, 0001
- 3 minute read, 448 words
- See Also: