https://github.com/kayleedavisgithub/graduate_methods_handbook

Book project detailing introductory methods for data scientists using R.
https://github.com/kayleedavisgithub/graduate_methods_handbook

causal-inference data-science graduate-course latex-document network-analysis r statistical-analysis

Last synced: about 1 month ago
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Book project detailing introductory methods for data scientists using R.

• Host: GitHub
• URL: https://github.com/kayleedavisgithub/graduate_methods_handbook
• Owner: KayleeDavisGitHub
• License: gpl-3.0
• Created: 2018-06-11T13:32:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-10-26T00:51:38.000Z (about 2 years ago)
• Last Synced: 2024-04-16T07:19:20.763Z (8 months ago)
• Topics: causal-inference, data-science, graduate-course, latex-document, network-analysis, r, statistical-analysis
• Language: TeX
• Homepage:
• Size: 20.3 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Introduction to Data Science With R

Download the .pdf above to give it a read! Contact information for various resources found in document.

## Citation

```Bibtex

@inproceedings{davis-methods-guide,

    title = "Introductory Data Science With R.",

    author = "Kaylee Layne Davis",

    year = "2022",

    publisher = "Pending",

    url = "https://github.com/KayleeDavisGitHub/Graduate_Methods_Handbook"

}

```