This badge was issued to Imen Ayari on 12 Apr 2019.
Predictive Analytics Modeler - Explorer Award 2018
Issued by
IBM
Through an instructor-led classroom, 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.
- Type Validation
- Level Intermediate
- Time Months
Skills
- Automated Data Mining
- CLEM For Data Analytics
- Conversion
- Customer Segmentation Analytics
- Data Analysis
- Data Collection
- Data Integration
- Data Mining
- Data Plotting
- Data Preparation
- Data Relationships
- Data Stream Analytics
- Data Transformation
- Distribution
- Field Measurements
- Functions
- Histogram Configuration
- Matrix
- Means
- Modeling Nodes
- Predictive Analytics Modeler
- PWID-B0576700
- SPSS
- String
Earning Criteria
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Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
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Completion of Module I - Analytics Overview: Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
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Completion of Module II - Business Analytics Foundations: Introduction to Data Mining CRISP-DM.
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Completion of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, 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; Predictive models and customer segmentation.
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Passing the Predictive Analytics Modeler 2018 practice test.