This page contains links to our support documents for some of the most popular quantitative, qualitative, and data conversion software at Stanford. We have included guides for getting started with software packages in different operating systems, resources for learning more about the software, tips for data entry, and other useful documents.

**Stata**

- Self-Directed Stata Learning
- From Introduction to Stata Workshop (link to GitHub Repository). Johnson AL, Gleit RD. Teaching for a Data-Driven Future: Intentionally Building Foundational Computing Skills. Teaching Sociology. August 2021. doi:10.1177/0092055X211033632

- Using Stata with FarmShare

**Python**

- Self-Directed Python Learning (coming soon)

**R**

- Self-Directed R Learning (coming soon)

**Other Resources**

- Data Visualization: Wilke CO. 2019. Fundamentals of Data Visualization.
- Python: VanderPlas J. 2017. Python Data Science Handbook.
- Python: Natural Language Processing with Python.
- Python: spaCy 101: Natural Language Processing in Python.
- Python: scikit-learn Machine Learning in Python.
- R: Kearns GJ. 2010. Introduction to Probability and Statistics Using R.
- R: Wickham H, Grolemund G. 2017. R for Data Science.
- R: Silge J, Robinson D. 2021. Text Mining with R.
- R: James G, Witten D, Hastie T, Tibshirani R. 2021. Introduction to Statistical Learning: With Applications in R, 2nd ed.
- Writing: Mensh B, Kording K. 2017. Ten simple rules for structuring papers.

__Legacy Guides__

Our documents are also available in print format in The Velma Denning Room.

Click on a document title to view that document in your browser. Please note that our documents require Adobe Acrobat Reader.

For a list of where you can access the following software, please visit Where to Access Software at Stanford.

View quick instructional videos for selected software.

__SPSS__

Using SPSS for Windows and Macintosh

Reading Raw Data into SPSS

Resources for Learning SPSS

__Stata__

Using Stata for Windows and Macintosh

Working with Dates and Times in Stata

Complex Survey Design Using Stata

Resources for Learning Stata

__SAS__

Using SAS for Windows

SAS Macro Language

Resources for Learning SAS

__R__

Using R for Windows and Macintosh

Resources for Learning R

Introduction to Packages in R

Making R code over 100 times faster: An example

r.stanford.edu - R resources and community at Stanford

__Qualitative Software__

Resources for Learning Qualitative Research

Using NVivo12 for Windows

Using NVivo12 for Macs

__Other Helpful Guides__

Using Excel for Data Manipulation and Statistical Analysis

Comparison of Statistical Software Packages

Using Windows Applications on a Mac

Tips for Data Entry

Writing about Numeric Data

Research Planning Before Data Collection

Research Planning After Data Collection

Tips For Survey Design