IBM SPSS Modeler: Getting Started faq

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learnersLearners: 1,277
instructor Instructor: Sandy Midili instructor-icon
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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 Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart 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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faq FAQ for SPSS Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 1277 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

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