In the era of Big Data, last volumes of data can be analyzed to gain insights which are useful for decision making. IBM SPSS Modeler is a data mining software application which is very user-friendly for developing predictive models. Predictive models are useful for classification and prediction problem such as fraud, churn, credit risk, haze, pollution, poverty or diseases.
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BIG DATA ANALYTICS USING IBM SPSS MODELER
ICT
BIG DATA ANALYTICS USING IBM SPSS MODELER
ICT
Registration Closed
| 21/10/2025 - 22/10/2025 Tentative is available below. | |
|
Institute Of Continuing Education & Professional Studies (iCEPS)
Aras 2, UiTM-MTDC Technopreneur Centre Universiti Teknologi MARA (UiTM) 40450, Shah Alam Selangor |
For any inquries, please contact :-
MUHAMMAD FIRDAUS BIN CHE ROSE
| 01110881431 | |
| firdauscr@uitm.edu.my |
Description
Objective
This course offers a practical, hands-on and step-by-step instructions on developing your predictive analytics skills using IBM SPSS Modeler.
Outline
Day 1: Foundations and Data Preparation
- Introduction to Big Data & IBM SPSS Modeler
- Data Understanding & Exploration
- Data Preparation
Day 2: Modeling, Evaluation, and Deployment
- Predictive Modeling Techniques
- Model Evaluation & Validation
- Model Deployment & Reporting
Tentative
Day 1: Foundations and Data Preparation
- Introduction to Big Data & IBM SPSS Modeler
- Data Understanding & Exploration
- Data Preparation
Day 2: Modeling, Evaluation, and Deployment
- Predictive Modeling Techniques
- Model Evaluation & Validation
- Model Deployment & Reporting