New to using data, or need a refresher? The resources below should give you a good overview of methods and provide some general advice.
Try using the datasets on Sage Research Methods to develop your skills in this area and practice data analysis.
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch by 
Introduction to Statistics and Data Analysis by
Peck, Short, and Olsen's INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 6th Edition stresses interpretation and communication of statistical information through hands-on, activity based learning using real data in order to get you thinking statistically.This 6th Edition contains new sections on randomization-based inference: bootstrap methods for simulation-based confidence intervals and randomization tests of hypotheses. These new sections are accompanied by online Shiny apps, which can be used to construct bootstrap confidence intervals and to carry out randomization tests. In addition, a new visualization tool at statistics.cengage.com will help you understand these new concepts. WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do homework. WebAssign grants access to the ebook, assessments and analytics to enable you to be a self-sufficient learner and help you succeed in your course.