This badge was issued to salah bouktif on 14 Apr 2017.
Predictive Analytics Modeler - Explorer Award for Educators 2016
Issued by
IBM
Through attendance in an instructor-led faculty workshop designed to show faculty how to educate students, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.
- Time Months
Skills
- Automated Data Mining
- CLEM For Data Analytics
- Customer Segmentation Analytics
- Data Analysis
- Data Collection
- Data Integration
- Data Mining
- Data Modelling
- Data Plotting
- Data Preparation
- Data Relationships
- Data Stream Analytics
- Data Transformation
- Histogram Configuration
- Modeling Nodes
- Predictive Analytics Modeler
- PWID-B0070000
- SPSS
Earning Criteria
-
Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
-
Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; and Understanding Business Intelligence and Analytics.
-
Completion of Module II - Business Analytics Foundations: Covering Introduction to Data Mining CRISP-DM.
-
Completion of Module III - Predictive Analytics Modeler: Covering Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Deriving and reclassifying fields (CLEM); Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Statistical, graphical and sample nodes; Automated data mining and modeling; and Predictive models and customer segmentation.
-
Participation in the faculty enablement session.
-
Passing the Predictive Analytics Modeler academic practice test.