This badge was issued to Ahmed Abdel baky on 16 Feb 2020.
Predictive Analytics Modeler - Instructor Award 2018
Issued by
IBM
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.
- 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-B0287200
- 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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Teaching of Module I - Analytics Overview: Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
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Teaching of Module II - Business Analytics Foundations: Introduction to Data Mining CRISP-DM.
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Teaching 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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Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
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Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.