Statistics Catalogs These are websites that have cataloged many useful statistical resources:

Tufts Tutorials on Statistics Resources created by Tufts University for learning statistics (Coming Soon)
Principals of Statistics Resources for understanding various principals related to statistics. These resources are not directly linked to software, but are meant to teach concepts.

Excel Resources Learn how to use Excel:

  • Top Excel Tips for Data Analysts: Great tips for data cleaning, data analysis and data visualization stategies, provided by InvestinTech.com
  • Descriptive Statistics with Excel: Very helpful Excel learning module created at Princeton. Topics covered: entering data, descriptive statistics, pivot tables, one-way ANOVA, graphing
  • Excel Training Documents: From the University of Reading. Includes the basic operations of Excel.
  • RegressIt (Excel add-on): “RegressIt is an Excel add-in for statistical analysis that was developed at the Fuqua School of Business, Duke University, over the last 5 years by Professor Robert Nau in collaboration with Professor John Butler at the McCombs School of Business, University of Texas. It performs multivariate descriptive data analysis, multiple linear regression (with forecasting), and variable transformations. “
STATA Resources Learn how to use Stata:

  • The STATA website provides many tutorials and videos on how to perform specific analyses using STATA.
  • Princeton Stata Tutorial: A very good tutorial on Stata provided by Princeton university. Goes over basic commands, data management, graphics and more advanced programming
  • UCLA Stata Tutorial: One of the most comprehensive online resources for learning Stata. Covers a range of topics from basic data management to more sophisticated analytical techniques.
  • Carolina Population Center Stata Tutorial: Provides examples of syntax for managing and analyzing data in Stata.
  • South Africa Distance Learning Project: Hands on instruction in the analysis of survey data using Stata.
  • Statalist: Hosted at the Harvard School of Public Health, Statalist is an email listserver where over 5,100 Stata users from experts to neophytes maintain a lively dialogue about all things statistical and Stata.
  • NetCourses by StataCorp: These courses are inexpensive ways to learn Stata directly from the company offering the software (StataCorp). Includes advanced topics such as survival analysis and panel data techniques.
  • Web-based training by StataCorp: Web-based training provides a more in-depth background in the topic of interest, but can be more expensive than NetCourses. Trainings include topics such as mixed models, structural equation modeling, and multiple imputation methods.
R Resources  Learn how to use R:

  • FlowingData: Learn how to create amazing visualizations using R
  • R Tutorial Videos: Video tutorial set from the University of Colorado Denver. Contains sample datasets to follow along with. The video above is first video in this series.
  • Code School – A Web book teaching R Concepts and tools.
  • Quick-R: a guide for experienced users of other stats packages like SAS, SPSS, or Stata.
  • Analyze Survey Data: Great resource providing survey data analysis methodologies in R
  • R API/Feeds: A list of available APIs that can be read as packages into R
  • R Seek: Have you tried searching “R” in a search engine? Try this instead.
  • R Starter Kit: Created by UCLA
  • R Twotorials from the website: “how to do stuff in r. two minutes or less.”
  • Stats TeachR: Created by a UMass Amherst Biostatistics student. statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. “modules”, for teaching statistics using R at the undergraduate and graduate level. Each module focuses on teaching a specific statistical concept. The modules range from introductory lessons in statistics and statistical computing to more advanced topics in statistics and biostatistics.
  • RStudio: For tips on using the R integrated development environment (IDE) called RStudio, take a look at the cheatsheets to start. They are great references as you learn R.
  • DataCamp: This introduction to R course uses the RStudio IDE, and is provided by DataCamp.
  • RShiny Examples: For getting started with RShiny, the web application framework for R, the examples page is a great place to start.
  • How to Start Shiny: If you’re just starting with R and RShiny, take a look at this How to Start Shiny tutorial.
SPSS Resources Here are useful links to SPSS Tutorials. Unfortunately, SPSS does not have their own tutorials, so these link out to various other users’ sites.

Stats Tools &  Calculators
  • StatTrek – Everything from a Random Number Generator to a probability calculator.