Guides to Data Software
The following books are introductions to some of the most commonly used statistical software. Use these for help using software and when you get stuck.
A Gentle Introduction to Stata, Fifth Edition by Call Number: QA276.4 .A36 2016ISBN: 1597181854Publication Date: 2016-04-19After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software.
Data Analysis With R: A Comprehensive Guide to Manipulating, Analyzing, and Visualizing Data with R by Call Number: ONLINEISBN: 9781788397339Publication Date: 2018
SPSS Survival Manual: A Ste- by Step Guide to Using IBM SPSS by Call Number: HA35 .P355 2016ISBN: 033526154XPublication Date: 2016This guide is currently shelved in Koerner Library Reserves. Older editions are available to borrow. Find them with a title search from the library homepage.
Practical Data Analysis Using Jupyter Notebook by ISBN: 1838826033Publication Date: 2020-06-19Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data
