Predictive Analytics Modeler - Instructor Award for Professionals 2016 - Badge
Name
Predictive Analytics Modeler - Instructor Award for Professionals 2016.
Issuer
IBM.
Description
Under guidance of an experienced instructor; this badge earner has demonstrated an ability to teach others forecasting and predicting future probabilities and trends; and analyzing insights from your data; using IBM SPSS Modeler. This individual has demonstrated proficiency teaching students topics such as data preparation; data mining; data collection & integration; nodes & streams; deriving & reclassifying fields; predictive models; and statistical analysis.
Badge Criteria
What it takes to earn this badge:
- Expected to be an Information Technology professional working for IBM an IBM Customer or Business Partner and attending the IBM Skills Academy.
- Teaching of Module I - Analytics Overview: Covering Business Analytics Overview Trends Case Studies and Understanding Business Intelligence and Analytics.
- Teaching of Module II - Business Analytics Foundations: Covering Introduction to Data Mining CRISP-DM.
- Teaching of Module III - Predictive Analytics Modeler: Covering Nodes and streams Initial data mining stage and field measurement Understanding the data Integrating data Deriving and reclassifying fields (CLEM) Looking f relationships (matrix distribution means etc) Functions (conversion string and statistical) Data transfmation Statistical graphical and sample nodes Automated data mining and modeling and Predictive models and customer segmentation.
- Teaching the course under the supervision of a qualified instruct and receiving teaching approval from the supervising instruct.
- Receiving a 70% positive survey feedback.
- Receiving the Mastery Award f Professionals 2016.
Tags
Skills indicated by the badge
Data Mining|SPSS|Predictive Analytics Modeler|Modeling Nodes|Data Stream Analytics|Data Integration|CLEM For Data Analytics|Data Relationships|Histogram Configuration|Data Plotting|Data Transformation|Data Collection|Data Analysis|Data Modelling|Data Preparation|Automated Data Mining|Customer Segmentation Analytics