IBM SPSS Modeler: Getting Started [Dr.Soc] Requested

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Added on January 4, 2016 by Dr.Socin Other > Tutorials
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IBM SPSS Modeler: Getting Started [Dr.Soc] *Requested* (Size: 899.14 MB)

		Modeler's Workbench Design-1390146.mp4	10.81 MB
		Merge Node-1389432.mp4	31.47 MB
		General Modeler Orientation-1389332.mp4	50.37 MB
		Flat File Node-1390180.mp4	11.69 MB
		Modeling Methods-1390232.mp4	52.39 MB
		Partition Node-1390174.mp4	13.66 MB
		What is CRISP-DM-1389100.mp4	19.38 MB
		What is Advanced Analytics and Data Mining-1389124.mp4	39.24 MB
		Var. File Node-1389094.mp4	18.35 MB
		Type Node-1390424.mp4	57.86 MB
		Exit Strategies of Millionaires Mindset-2467538.mp4	202.63 MB
		Excel Node-1389080.mp4	11.57 MB
		Data Audit Node - Quality Tab-1390452.mp4	87.12 MB
		CHAID-1394136.mp4	15.51 MB
		CHAID Demo-1394186.mp4	49.53 MB
		Append Node-1389428.mp4	23.41 MB
		Data Audit Node-1389310.mp4	34.74 MB
		Derive Node - Conditional-1389502.mp4	16.55 MB
		Evaluation Node-1389736.mp4	49.17 MB
		Derive Node - Nominal-1389388.mp4	24.21 MB
		Derive Node - Formula-1389518.mp4	14.03 MB
		Derive Node - Flag-1389494.mp4	10.99 MB
		Analysis Node-1389746.mp4	54.45 MB

Description

Course Description

Learn how to do Data Mining using IBM SPSS Modeler.

IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models.

Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results. This course is broken up into phases. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. We will discuss how to read data into Modeler. We will also focus on describing, exploring, and assessing data quality. The Data Preparation Phase discusses how to integrate and construct data. While the Modeling Phase will focus on building a predictive model. The Evaluation Phase focuses how to take your data mining results so that you can achieve your business objectives. And finally the Deployment Phase allows you to do something with your findings.

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899.14 MB

seeders:14

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IBM SPSS Modeler: Getting Started [Dr.Soc] *Requested*

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Thanks a lot for your time effort and energy to share it with the world