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.

Mathematica Resources Wolfram Alpha, the company that produces the software Mathematica, has a number of useful tutorial videos on their website.

  • Importing Data Into Mathematica: Having trouble getting your data into Mathematica? This on-demand workshop goes through importing ArcGRID digital elevation models, Microsoft Excel spreadsheets, even importing HTML data and “scraping” the data from the page. Just click on the link and fill out a short form to access the on-demand workshop.
  • Workshop on Statistical Analysis with the Wolfram Language: Learn how to perform hypothesis testing, descriptive statistics, and more in this five part introduction to statistical analysis using Mathematica.
  • Graphs and Networks in Mathematica: If you’d like to work with social network or other graph-based data, check out this workshop!
  • Data Visualization in Mathematica: You can create high-quality visualizations of your data in Mathematica. This on-demand workshop goes through creating a bar chart, a bubble chart, and making these charts interactive. Just click on the link and fill out a short form to access the on-demand workshop.
  • Data Science Pipelines: If you’d like to create a pipeline for your large dataset, this instructional video may assist.
NVivo Resources NVivo has a number of tutorials, available on YouTube, which are up to date for version 10 (Windows) and version 11 (Mac).

  • NVivo for Mac: To get started with NVivo software on the Mac platform, take a look at the videos available at this link. This includes textual analysis, transcribing audio, annotating video, and other common tasks.
  • NVivo for Windows: To get started with NVivo software on a Windows PC, take a look at the videos available at this link. This includes the same topics as the Mac tutorials: textual analysis, transcribing audio, annotating video, and other common tasks.
  • Introduction to NVivo: To learn more about how you can use NVivo at Tufts, take a look at the slides at this link, developed for a course in Community Health.
MATLAB Resources To learn more or create a MathWorks account to download MATLAB software, please see the AccessTufts page. Once you have a MathWorks account, you can access online training materials.

  • MATLAB Online Training: MATLAB offers a number of informative online training courses on topics such as machine learning, linear algebra, differential equations, and more.
High-Performance Computing Resources  In addition to the High-Performance computer available in the Data Lab, we also have a High-Performance Compute (HPC) cluster at Tufts. For more information on using the HPC at Tufts, please see here. To learn more about high-performance computing, see the resources below. 

  • Introduction to High-Performance Computing: This is a great overview of connecting to a HPC cluster and performing common tasks, including writing scripts, loading packages (modules), transferring files, and more. For more information on HPC Carpentry at Tufts, contact Kyle Monahan.
  • Supercomputing in Plain English: For an introduction to the terminology used in referring to components and techniques in for using HPC resources, take a look at this workshop series from University of Oklahoma.
Stats Tools &  Calculators
  • StatTrek – Everything from a Random Number Generator to a probability calculator.