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Data Mining for the Masses

With Implementations in AI Studio, R, and Python

Authors

Matthew North, PhD

Utah Valley University

Editors

Aspen Stander Moore

Course Editor

This resource introduces students to concepts and practices common in data mining using the CRISP-DM methodology. It is intended for students and business professionals who are interested in using information systems and technologies to solve organizational problems by mining data, but who may not have a background in computer science. Students will learn the concepts and techniques required to successfully mine data in AI Studio, R, and Python.

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Data Mining for the Masses

Table of Contents

Authors

Editors

Any Device, Any Location

Advanced Analytics

Flashcards

Searchable Glossary

Highlights and Notes

Text, Video, Audio, Assessments