IBM SPSS Modeler: Getting Started
This course introduces students to IBM SPSS Modeler, a data mining workbench that helps build predictive models quickly and intuitively. It is broken up into phases, such as Introduction to Data Mining, Data Understanding, Data Preparation, Modeling, Evaluation and Deployment. Each phase is designed to help students understand the CRISP-DM methodology, navigate within Modeler, read data, describe, explore and assess data quality, integrate and construct data, build predictive models, and take data mining results to achieve business objectives. With detailed instructions and stand-alone videos, this course is perfect for those looking to learn more about data mining and IBM SPSS Modeler. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2014-05-20
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
By taking this course, students will acquire skills and knowledge in data mining, the CRISP-DM methodology, navigating within Modeler, reading data into Modeler, describing, exploring, and assessing data quality, integrating and constructing data, building predictive models, taking data mining results to achieve business objectives, and deploying findings.
Contribution to Professional Growth:
This course contributes to professional growth by providing students with the knowledge and skills necessary to use IBM SPSS Modeler to analyze data and build predictive models. Students will learn about the CRISP-DM methodology, how to read data into Modeler, how to describe, explore, and assess data quality, how to integrate and construct data, how to build a predictive model, how to take data mining results to achieve business objectives, and how to deploy the findings. With this knowledge, students will be able to use IBM SPSS Modeler to analyze data and build predictive models in a professional setting.
Suitability for Further Education:
IBM SPSS Modeler: Getting Started is a suitable course for preparing further education. It provides an introduction to data mining and the functionality available within IBM SPSS Modeler. The course is broken up into phases, which cover topics such as data mining, data understanding, data preparation, modeling, evaluation, and deployment. This course provides a comprehensive overview of the data mining process and provides the necessary skills to build predictive models. As such, it is suitable for preparing further education in the field of data mining.
Course Syllabus
Introduction to Data Mining
Data Understanding
Data Preparation
Modeling
Evaluation
Deployment
Course Provider
Provider Udemy's Stats at AZClass
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