96301 - Data Mining for the Masses Applications
6661182
Delivery Options
Online Self-Paced
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Course Overview
This resource introduces participants 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. Participants will learn the concepts and techniques required to successfully mine data in RapidMiner and R.What You'll Learn
- Introduction to Data Mining and CRISP-DM
- Organizational Understanding and Data Understanding
- Data Preparation
- Correlational Methods - Association Rules
- k-Means Clustering
- Discriminant Analysis, k-Nearest Neighbors and Naïve Bayes
- Linear Regression
- Logistic Regression
- Decision Trees
- Neural Networks
- Text Mining
- Evaluation and Deployment
- Data Mining Ethics
Who Should Attend
- Managers
- Support Staff
- Executives
- Line Managers
- Supervisors
- Recent Graduates
- Business Students
- CEU Seekers
- Career Pivoter
- Resume Builders
Additional Information
Participants must complete all sections to earn the Digital Badge of Completion.Loading...
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This course is offered through The James & Gail Ellis School of Business Leadership.
UNM Staff, Faculty and Retirees can use their Tuition Remission benefit on professional development programs.
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