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| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Manipulation | 25% | - Record operations: select, sort, aggregate, sample - Merge and append datasets - Field operations: derive, filter, reclassify, binning - Handling missing values and outliers |
| Model Evaluation and Deployment | 5% | - Export and deploy models - Model comparison and selection - Model accuracy and performance metrics |
| Introduction to SPSS Modeler and CRISP-DM | 15% | - CRISP-DM methodology - Project and stream management - Modeler interface and workbench |
| Modeling Techniques | 20% | - Clustering and segmentation - Classification and regression models - Association rules and sequence detection - Neural networks and decision trees |
| Data Access and Source Nodes | 20% | - Data preview and metadata inspection - Variable types and measurement levels - Import data from files and databases |
| Data Exploration and Visualization | 15% | - Descriptive statistics and distributions - Graph nodes: histograms, scatterplots, bar charts - Correlation and association analysis |
Suppose you wanted to select only the records with complete data on all the fields for analysis and need to generate a Select node to perform that operation. Which other node should you use to generate the Select node?
In a Derive node, which expressions will produce a continuous date lype rather than a string? (Choose two.)
Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if there are $null$ missing values in one or more fields. Which expression would accomplish this task?
As a default, the Evaluation node provides a graph of the first category of your target field. To change the category, you need to modify which section?
To score new data using an existing model, the user must:
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