Updated Feb 2020
Below are some resources that I have found useful related to data science, data visualization, and computational biology. These mostly pertain to the R environment.
Newsletters and Blogs
Subscribe to Monday morning data science (MMDS) - weekly newsletter with updates on R and data science news and resources
Subscribe to R-bloggers as a way to learn about new tools
The Simply statistics blog has updates from leading academic data scientists
Research workflow - best practices
Cookie cutter data science - provides template for data science project file structure
Peerj - practical data science. This is a collection of articles that discuss best practices for data collection and analysis.
eLife’s computationally reproducible articles blend manuscript with editable code and interactive figures. They recommend the use of [Stencila Desktop](), a free online manuscript editor.
Audit this series of courses: Data science specialization on coursera
Take the Stanford edX course on statistical learning. Very comprehensive - includes videos, a free book, and R code examples.
An understanding of statistics (e.g. linear models, dimensionality reduction, permutations) and linear algebra help with doing computational biology. Essential linear algebra and statistics are offered by this course. Knowing the basics of calculus is also helpful.
A sequence of courses offered by Rafa Irizarry on edX in R for genomics
R for Data Science. A comprehensive guide to how to do data science. Covers everything from data import to statistical modeling, visualization, and communication of results. Provides both the big picture and details through worked examples. Explains “tidyverse” principles. Only downside is there’s not a focus on life sciences.
- Genomics databases available online - there’s a wealth of knowledge out there. Wikipedia has a good list, and so does CSHL.
#hiddencurriculum hashtag on Twitter - discusses insights into graduate school that people wish they knew when they started.
Follow Hadley Wickham, Jeff Leek, Roger Peng on Twitter.
Policyvis for data visualization help.
Data-to-vis is a guide for picking the best graph for your data.
Fundamentals of data visualization - free online book by Clause O. Wilke.
Data visualization: A Practical Introduction - free online book by Kieran Healy.
Examples of data visualization
Very nice visualization of cave rescue
Flowing data is a collection of data visualization and data journalism.
Pudding.cool has well-illustrated and interesting data essays
Visual cinnamon has excellent examples of data visualization
Look at the winners from data visualization contests like malofiej and the information is beautiful awards
Sign up for a local hackathon. If there are none in your neighborhood, join one online.
Contribute to an open-source project. Here’s a guide for how to get started.
A cheatsheet for statistical tests and their equivalent linear models in R