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Downloadable Free Software
UA students and faculty can download a free copy of Minitab, JMP, or SAS to their personal computer through this link. (UAnet authentication required)
Python (programming language)
Python is a programming language widely used for statistical analysis.
R is a popular and widely used program for statistics computing and graphics. RStudio is an active member of the R community and has a good interface for non-expert users.
Tableau for Students
Tableau is a popular data visualization program. Students can get a free one-year license by registering at this site.
Virtual Software Labs
A server hosted virtual desktop with many popular statistics programs. SPSS 24, Minitab 18, SAS 9.4, and JMP Pro 13 are available in the Statistics instance and MATLAB is available in the Engineering instance. (UAnet authentication required)
Data Visualization Resources
Storytelling with Data by
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.
The Truthful Art by
The Truthful Art is an introduction to quantitative thinking and statistical and cartographical representation written specifically for journalists and designers. A follow-up to The Functional Art, it goes into the specifics of how to create functional charts, maps, and graphs.
Beautiful Visualization by
This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more.
Data Visualisation with R by
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts.
Data Science Resources
Data Science from Scratch by
In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
Data Smart by
Data science is little more than using straight-forward steps to process raw data into actionable insight. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.
Data Wrangling with R by
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information.
Doing Data Science by
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use.
Practical Statistics for Data Scientists by
This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
R for Data Science by
This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.