subject: Ibm Certified Associate Certification Overview [print this page] This qualification is designed for Company Associates with a starting knowledge of IBM SPSS Modeler edition 14 or higher working in govt., universities, or business that use the IBM SPSS Modeler item to execute information exploration actions such as information planning, information knowing and modeling. The IBM Certified Associate may implement the IBM SPSS Modeler item for programs such as scams recognition, client control and turn, risk control, and so forth.
Certification Exams
Test SPS-200: IBMSPSSMPRO: IBM SPSS Modeler Professional
Section 1 - Business Understanding (5%)
CRISP-DM process methodology
Identifying business objectives
Translating business objectives to data mining goals
Section 2 - Data Understanding (25%)
Reading data from various sources - Source Nodes
Using data visualization - Graph Nodes
Understanding distributions and summary statistics
Identifying data quality issues
Identifying and understanding outliers
Identifying anomalies - anomaly node
Understanding relationships among variables
Section 3 - Data Preparation (35%)
Using the Merge and Append nodes to combine datasets
Deriving new fields - Fields Pallet Nodes
Aggregate and restructure datasets
Using the Select node
Sampling and Balancing datasets
Methods for reducing the dimensionality of the dataset
Understanding SQL pushback
Understanding use of data caching
Methods for Missing Value Replacement
Section 4 - Modeling (20%)
Partitioning the dataset
Understanding which models to use for sets or binary outcomes
Understanding which models to use for numeric outcomes
Understanding model types and basic operations
Combining models using the Ensemble node
Auto modeling nodes
Section 5 - Evaluation of Results (10%)
Using the Analysis node
Producing and interpreting Evaluation charts
1.Using data visualizations (charts) and classification tables to interpret model results
2.Interpreting Generated Model Nuggets
Section 6 - Deployment of Results (5%)
Using the Export Nodes
Scoring new data using generated models
Understanding monitoring of deployed models
To be a successful certified as an IBM SPSS Modeler, Business Partner Data Analyst Associate, IBM recommend that you have already finished the following courses or have the equivalent understanding of the topics covered.
Business Understanding (5%)
Review of the CRISP methodology
General operations in Modeler (20%)
Building Streams
Running Streams
Data Understanding (30%)
Extent of Missing Data
Outliers
Field Distribution and Summary Statistics
Data Preparation (40%)
Creating new variables with the Derive Node
Creating new variables with the Reclassify Node
Combining data files
Restructuring data
Aggregating data
Removing Duplicates
Sampling cases
Modeling (5%)
Predictive Models
Cluster Models
Association Models
Test SPS-202: IBMSPSSMBPDM: IBM SPSS Modeler Business Partner Data Mining Associate
Business Understanding (5%)
Review of the CRISP methodology
General operations in Modeler (20%)
Building Streams
Running Streams
Reading different file types into Modeler including delimited files, statistics files, spreadsheet files, and databases
Data Understanding (20%)
Extent of Missing Data
Outliers
Field Distribution and Summary Statistics
Auto checking for missing and out of bounds data
Looking at vicarage relationships between variables
