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University of Southern Maine
Libraries & Learning

* Data Sources & Data Analytics: Data Analytics

A guide to data sources and data analytics.

Introduction to Data Analytics

Data analytics is about examining raw data with the purpose of drawing inferences and conclusions from it. Data analytics can be used to verify or disprove existing models or theories or to improve outcomes by allowing companies and organizations to make better business decisions.

There are several ways to approach using data analytics, for example one is to identify an issue or problem that needs to be addressed and approach the data seeking insights. Another way in which to use data analytics is a data-first approach. This involves taking the available data and exploring it for new insights, such as how to optimize a process, or identify a pattern that can be used to predict future outcomes.

Data analytics is a part of the rapidly expanding field of Data Science. Here is a guide to some of the resources available to USM students, faculty, and staff with regards to data analytics. It is a starting point, not an end point....

Analytics in Industry

Journals and Databases

Web Resources

Data Analysis Videos

Books and E-Books on Software Tools, Data Science, & Analytics

Books About Data & Analysis

Related Guides & Data Sources