IBM C2090-012 Preparation Course
IBM SPSS Modeler Data Analysis for Business Partners v2

IBM C2090-012 Exam Questions & Answers
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C2090-012 Training Course
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Exam Details:

The IBM C2090-012 IBM SPSS Modeler Data Analysis for Business Partners v2 exam is a certification exam that tests a candidate's knowledge of SPSS Modeler Data Analysis. The exam can be taken online or in-person at a testing center. The cost of the exam varies by country and region, and candidates should check with their local testing center for pricing information. The exam is timed, and candidates have 90 minutes to complete the exam. The passing score for the exam is 70%. The exam is available in English, Japanese, and Simplified Chinese.

Exam Objectives:

  • Understanding of the SPSS Modeler Environment
  • Data Preparation
  • Modeling Techniques
  • Evaluation of Models
  • Deployment of Models

The IBM C2090-012 exam covers a range of topics related to SPSS Modeler Data Analysis. Candidates should be familiar with the SPSS Modeler environment, including understanding of the various nodes and how they can be used to build a model. They should also be familiar with the process of data preparation, including data cleaning, data transformation, and variable selection. Candidates should understand the different modeling techniques that can be used in SPSS Modeler, including decision trees, logistic regression, and neural networks. They should also be able to evaluate the performance of a model and deploy it for use in a business setting.

Related Books:

  • "IBM SPSS Modeler Cookbook" by Keith McCormick, Scott Mutchler, and Dean Abbott
  • "IBM SPSS Modeler Essentials: A Guide for Business and Social Scientists" by Paul Watson
  • "Predictive Analytics with IBM SPSS Modeler: A Practical Guide" by Kalyan Dutta
  • "Data Mining with IBM SPSS Modeler: Theory, Exercises, and Solutions" by Tilo Wendler

These books provide in-depth coverage of SPSS Modeler and can help candidates prepare for the IBM C2090-012 exam. The books cover topics such as data preparation, modeling techniques, and model evaluation, which are all covered in the exam. The books also include exercises and solutions that can help candidates practice and reinforce their understanding of the material.

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