Connect Data Tools Beyond R

Learning Objectives

After completing this material, an individual will be able to connect with other data science tools beyond R.

• use unix/linux shell to search and modify project
• initial steps toward reproducible research
• build a basic pipeline or workflow in the shell
• Scaling up the split-apply-combine paradigm

Pages

• beyondR
• blended_online
• docker
• latex
• linux
• nontrad
• plan
• profSkills
• programs
• reproducible
• scaling_up
• software
• stat692notes
• writing

References

• [JuliaCon 2018

  Keynote - The Rise of the Research Software Engineer

  Mike Croucher](https://www.youtube.com/watch?reload=9&v=8ZSaAM8hhJ4) (github slides)

• Software Carpentry Unix Shell
• Software Carpentry Automation with Make
• Jenny Bryan pipeline automation
• GNU Make Tutorial (Karl Broman)
• LaTeX Writing Language
• Reproducible Research Tools Links

• Docker & Guix (build & run isolated containers of software)

• Going beyond R
• http://software-carpentry.org
• http://chtc.cs.wisc.edu
• history of teletype and relation to short Unix command names

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Table of contents

• Communication & Writing
• Docker and Guix
• Going Beyond R
• LaTeX Writing Language
• Linux Operating System & bash Shell
• Non-Traditional Students: Professional MS and Certificates
• Online & Blended Courses in Statistics
• Professional Skills for Data Science
• R for teams in the data sciences
• Reproducible Research Tools
• Scaling up the split-apply-combine paradigm
• Software Packages, Languages & Writing Tools
• Stat 692 Fall 2014 Notes