Below is a table with a list of commonly used data analysis tools and corresponding tutorials.
| Tools | Description | Tutorials |
| SPSS | [Free to SJSU student, faculty, staff] Used for statistical analysis of quantitative data. The graphical user interface makes statistics analysis easier, including most complex models. | SPSS Tutorial |
| SAS | [Free to SJSU faculty] A powerful statistical-analysis and data-management system for complex data sets. It is especially strong in analysis of variance (ANOVA), the general linear model, and their extensions. | SAS Tutorial |
| QGIS | [Free] It is open source GIS software, available for both Windows and Mac OS. This software has a powerful and useful features. | QGIS Tutorial |
| R | [Free] R is an open-source programming language and command-based application. This language is a powerful visualization and analysis tool for data. R is primarily used for text mining. | R Tutorial |
| Stata | [Not Free] A command-based statistical package that offers a lot flexibility for data analysis. The program language keeps a simple structure, so is easy to learn, allowing users to focus on the statistical modeling. | Stata Tutorial |
| NVivo | [Not Free] A qualitative data analysis package. It helps researchers organize and analyze complex non-numerical or unstructured data, both text and multimedia. The software allows users to classify, sort, and arrange thousands of pieces of information. It also accommodates a wide range of research methods. It supports documents in many languages. | NVivo Tutorial |
| Dedoose | [Not Free] A web-based qualitative analysis tool for data including text, audio, images, or video; and quantitative data such as spreadsheets, surveys, test scores, ratings or demographics. | Dedoose Tutorial |
Some data visualization tools used in the data science are Tableau, RawGraphs, and D3. You can find supporting resources on these tools through the library and online. Some resources are listed below:
Tableau is a powerful business intelligence software known for creating clean, interactive data visualizations. While users can access full functionality through a paid desktop license, anyone can use Tableau Public. See select visualizations on the Tableau Public Gallery.
Innovative Tableau by Ryan Sleeper
d3.js is a JavaScript library for scripting visualizations from scratch.
D3. Js Quick Start Guide by Matthew Huntington
d3.js in Action by Elijah Meeks
RAW Graphs is a graphical user interface built on top of d3.js, so if you are interested in d3.js visualizations but don’t want to code from scratch, this is a good option.
More data visualization, design considerations, tools, and infographics are available in the Data Visualization libguide.
Prepare Your Data for Tableau: A Practical Guide to the Tableau Data Prep Tool