DAS 2B: Bayes and the Behavior Chain: A Walk through Using R and WEKA

Track: Data Analytics Symposium

Session Number: DAS 2B
Date: Wed, Jul 26th, 2017
Time: 11:15 AM - 12:00 PM

Description:

When we want to predict who our donors will be in the future, we need to understand how our current donors walked the donor path. Join Marianne Pelletier to explore using the free tools, R and WEKA, to understand and predict the donor path.
Sub-Categorization: Enterprise Track
Session Type: Breakout Session (45 minutes)

Primary Competency: RM:Competency 1: Prospect Pool/Base Analysis
Secondary Competency: RM:Competency 8: Pipeline Management
Tertiary Competency: DA:Competency 4: Statistical Techniques and Competencies
Intended Audience Level: Level II
Learning Objective #1: Attendees will gain exposure to R and WEKA as statistics programs.
Learning Objective #2: Gain an understanding of using data in motion rather than as a snapshot.
Prerequisites: Exploratory statistics, basic visualization, prospect development theory, logistic regression.
Sub-Categorization: Enterprise Track
Session Type: Breakout Session (45 minutes)

Primary Competency: RM:Competency 1: Prospect Pool/Base Analysis
Secondary Competency: RM:Competency 8: Pipeline Management
Tertiary Competency: DA:Competency 4: Statistical Techniques and Competencies
Intended Audience Level: Level II
Learning Objective #1: Attendees will gain exposure to R and WEKA as statistics programs.
Learning Objective #2: Gain an understanding of using data in motion rather than as a snapshot.
Prerequisites: Exploratory statistics, basic visualization, prospect development theory, logistic regression.