IBM C2090-013 Preparation Course
IBM SPSS Modeler DataMining for Business Partners v2

IBM C2090-013 Exam Questions & Answers
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C2090-013 Training Course
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The IBM SPSS Modeler DataMining for Business Partners v2 Preparation study course, complemented by its specialized software, is meticulously designed to provide thorough preparation for your C2090-013 certification. We take pride in the superior formatting of our training courses, setting us apart from our competitors. This IBM SPSS Modeler DataMining for Business Partners v2 study course is subject to frequent updates, ensuring its accuracy and comprehensive coverage of all relevant IBM SPSS Modeler DataMining for Business Partners v2 topics.

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The first step to passing the C2090-013 IBM SPSS Modeler DataMining for Business Partners v2 exam is to understand the exam objectives and topics covered in the exam. The exam is designed to test a candidate's knowledge and understanding of IBM SPSS Modeler and its application to data mining for business purposes.

Exam Objectives:

  • Understand the basic concepts of data mining and how it can be applied in business settings.
  • Use IBM SPSS Modeler to prepare data for analysis, including data cleaning, data transformations, and data sampling.
  • Develop and evaluate predictive models using techniques such as decision trees, regression, and clustering.
  • Use IBM SPSS Modeler to analyze data and identify patterns and relationships.
  • Understand the principles of model selection and evaluation, including techniques for assessing model accuracy and choosing the best model.
  • Understand how to apply data mining techniques to real-world business problems and use the insights gained to drive business decisions.

It is important to study and gain hands-on experience with IBM SPSS Modeler in order to successfully pass the exam. IBM offers a variety of training courses and resources to help candidates prepare for the exam, including online training modules, classroom training, and certification guides.

Exam Details:

  • The cost of the exam varies by location and can be found on the IBM website.
  • The passing mark for the exam is 67%.
  • The exam consists of 60 multiple choice questions and has a time limit of 90 minutes.
  • The exam can be taken in-person at a testing center or remotely online.
  • The exam format is computer-based.

To pass the exam, it is recommended that candidates have a strong understanding of the exam objectives and topics covered. Additionally, candidates should gain hands-on experience using IBM SPSS Modeler and be familiar with the software's features and functions.

Related Books:

  • "Predictive Analytics Using IBM SPSS" by Saumyadipta Pyne and Shweta S. Rao
  • "Data Mining with IBM SPSS Modeler: Theory, Exercises and Solutions" by Tilo Wendler and Janez Demsar
  • "IBM SPSS Modeler Cookbook" by Keith McCormick, Scott Mutchler, and Dean Abbott
  • "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python" by Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, and Kenneth C. Lichtendahl Jr.

Studying these books can help candidates gain a deeper understanding of the concepts and techniques covered in the exam, as well as provide hands-on exercises to practice using IBM SPSS Modeler.

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