Predictive Analytics Modeler Certificate: Instructor
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 and IBM Watson Studio. 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.
- Type Validation
- Level Advanced
- Time Months
- Cost Free
Skills
- Automated Data Mining
- CLEM For Data Analytics
- Conversion
- Customer Segmentation Analytics
- Data Analysis
- Data Collection
- Data Integration
- Data Mining
- Data Modelling
- Data Plotting
- Data Preparation
- Data Relationships
- Data Stream Analytics
- Data Transformation
- Distribution
- Field Measurements
- Functions
- Histogram Configuration
- Matrics
- Means
- Modeling Nodes
- Predictive Analytics Modeler
- PWID-B0629200
- SPSS Modeler
- Storage
- 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 SkillsBuild program.
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Teaching of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
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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.