Welcome to the Data and Statistics Guide!
This library guide provides you with an overview on how to get started working with data. The contents of this guide have been organised into several tabs to provide you with access to key areas.
For more information on how to do research, visit the Applied Research for Students tutorial.
Data Literacy is a critical skill in today's world. It refers to the ability to read, understand, and apply critical thinking to data, thus enabling you to work with and communicate with data as information, and ultimately, help with making data-driven (or data-informed) decisions.
Data Science is the discipline that specializes in the theories and applications of data collection, processing and analysis. It uses scientific methods and theories from mathematics, statistics, computer science and information science to seek answers to data-driven questions.
Statistics is focused on the mathematical use of data and therefore primarily concerned with the analysis of quantitative (numeric) data.
The Data Life Cycle applies to all types of data. From https://datascience.berkeley.edu/about/what-is-data-science/
Use the Seneca Libraries APA Citation Guide to support integration of sources in your academic work. The Citation Guide will help you avoid plagiarism, create in-text citations, and citations for your References page.
Use the Seneca Libraries MLA Citation Guide to support integration of sources in your academic work. The Citation Guide will help you avoid plagiarism, create in-text citations, and citations for your Works Cited page.
Complete this interactive module to discover the supports and services that will help you understand and practice academic integrity at Seneca.