IBM SPSS Modeler Foundations Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

IBM SPSS Modeler Foundations Training Course Overview

In today’s data-centric world, the ability to extract actionable insights from vast datasets is invaluable. Multisoft Systems’ IBM SPSS Modeler Foundations training is meticulously designed for professionals eager to master the nuances of predictive analytics and data mining. This comprehensive course introduces participants to the robust capabilities of the IBM SPSS Modeler, one of the leading statistical software tools used for building predictive models and conducting advanced analytics.

Through this training, participants will gain a solid understanding of the fundamentals of using SPSS Modeler, including data preparation, model building, and validation techniques. The curriculum covers various statistical and machine learning algorithms that enable users to uncover patterns, predict trends, and make data-driven decisions. Whether you’re aiming to improve customer segmentation, forecast business outcomes, or enhance operational efficiency, this course equips you with the necessary skills. By the end of the course, attendees will not only be proficient in SPSS Modeler’s functionalities but also be capable of transforming raw data into strategic insights, making them invaluable assets to their organizations.

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IBM SPSS Modeler Foundations Training Course curriculum

Curriculum Designed by Experts

In today’s data-centric world, the ability to extract actionable insights from vast datasets is invaluable. Multisoft Systems’ IBM SPSS Modeler Foundations training is meticulously designed for professionals eager to master the nuances of predictive analytics and data mining. This comprehensive course introduces participants to the robust capabilities of the IBM SPSS Modeler, one of the leading statistical software tools used for building predictive models and conducting advanced analytics.

Through this training, participants will gain a solid understanding of the fundamentals of using SPSS Modeler, including data preparation, model building, and validation techniques. The curriculum covers various statistical and machine learning algorithms that enable users to uncover patterns, predict trends, and make data-driven decisions. Whether you’re aiming to improve customer segmentation, forecast business outcomes, or enhance operational efficiency, this course equips you with the necessary skills. By the end of the course, attendees will not only be proficient in SPSS Modeler’s functionalities but also be capable of transforming raw data into strategic insights, making them invaluable assets to their organizations.

  • The IBM SPSS Modeler Foundations training by Multisoft Systems aims to equip participants with comprehensive skills and knowledge in predictive analytics and data mining using SPSS Modeler. The course objectives are as follows:
  • Introduce participants to the fundamentals of predictive analytics, its significance in the modern data-driven landscape, and how it can be applied across various industries.
  • Teach participants effective methods for preparing data for analysis, including data cleaning, transformation, and normalization, to ensure accuracy in predictive modeling.
  • Provide hands-on experience in creating, testing, and validating predictive models using SPSS Modeler, covering different modeling techniques such as classification, regression, and segmentation.
  • Familiarize participants with a range of statistical and machine learning algorithms available in SPSS Modeler, including decision trees, neural networks, and clustering techniques.
  • Teach participants how to use SPSS Modeler’s visualization tools to interpret model outputs and communicate findings effectively to stakeholders.

Course Prerequisite

  • Basic understanding of statistics and data analysis concepts
  • Familiarity with data management and manipulation techniques
  • Knowledge of at least one programming or scripting language

Course Target Audience

  • Data Analysts
  • Business Analysts
  • Data Scientists
  • Marketing Analysts
  • Research Scholars
  • IT Professionals
  • Project Managers

Course Content

  • Introduction to data science
  • Describe the CRISP-DM methodology
  • Introduction to IBM SPSS Modeler
  • Build models and apply them to new data

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  • Describe field storage
  • Describe field measurement level
  • Import from various data formats
  • Export to various data formats

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  • Audit the data
  • Check for invalid values
  • Take action for invalid values
  • Define blanks

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  • Remove duplicates
  • Aggregate data
  • Transform nominal fields into flags
  • Restructure data

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  • Append datasets
  • Merge datasets
  • Sample records

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  • Use the Control Language for Expression Manipulation
  • Derive fields
  • Reclassify fields
  • Bin fields

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  • Use functions
  • Replace field values
  • Transform distributions

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  • Examine the relationship between two categorical fields
  • Examine the relationship between a categorical and continuous field
  • Examine the relationship between two continuous fields

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  • Describe modeling objectives
  • Create supervised models
  • Create segmentation models

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  • Use database scalability by SQL pushback
  • Process outliers and missing values with the Data Audit node
  • Use the Set Globals node
  • Use parameters
  • Use looping and conditional execution

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IBM SPSS Modeler Foundations Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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IBM SPSS Modeler Foundations Corporate Training

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IBM SPSS Modeler Foundations Training FAQ's

  • You will learn the basics of using IBM SPSS Modeler, including data preparation, model building, evaluation, and deployment of predictive models. The course covers various statistical analysis and data mining techniques to help you uncover insights and make data-driven decisions.

  • The training is ideal for data analysts, business analysts, statisticians, data scientists, marketing analysts, and any professionals interested in learning predictive analytics and data mining using IBM SPSS Modeler.

  • Participants should have a basic understanding of statistics and data analysis concepts, familiarity with data management, and general computer literacy.

  • Yes, IBM offers certification for SPSS Modeler professionals.

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