IBM SPSS Modeler Essentials

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Master various techniques in IBM SPSS Modeler to perform efficient analytics on your data.IBM SPSS Modeler enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly, allowing your organization to base its decisions purely on the insights obtained from your data.With the help of this course, you'll follow the industry-standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. You will be acquainted with the best methods for building models that will perform well in your workplace.Go beyond the basics and get the full power of your data mining workbench using IBM SPSS Modeler with this handy tutorial.About the Author :Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.
KEITH MCCORMICK is a career-long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and speaker with four books in print or under contract. Although his consulting work is not restricted to any one tool, his writing and speaking have made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Learn about data mining and the CRISP-DM process model
Become familiar with the IBM SPSS Modeler User Interface
Import data into the Modeler and assess data quality
Select the appropriate data and combine data files
Develop models and learn how to interpret results
Evaluate your data models efficiently
Deploy data models to production

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Options
  • Audit
  • Data Mining
  • Quality
  • Mechanics
  • Project
  • Industry
  • Quality Training
  • Import

Course programme

Exploring Data Mining and Modeler 5 lectures 37:21 The Course Overview This video will give you an overview about the course. Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
Exploring Data Mining and Modeler 5 lectures 37:21 The Course Overview This video will give you an overview about the course. Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introduction to Data Mining and CRISP-DM Overview The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
The aim of this video is to define data mining and overview the cross industry standard process for data mining.
  • Study definition of data mining
  • Data mining in modeler
  • CRISP-DM overview and process
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Introducing the Modeler User Interface The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
The aim of this video is to introduce users to the IBM SPSS Modeler user interface.
  • Study Stream Canvas, Nodes, and Palettes
  • Modeler Menus and Toolbar
  • Manager Tabs and Project Window
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
Organizing Your Work and Using Help The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
The aim of this video is to learn how to organize SPSS modeler interface.
  • Tips and tricks on organizing a project
  • Learn how to create annotations
  • Help and IBM documents
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The Mechanics of Building Streams The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
The aim of this video is to give a high level overview of how to build streams.
  • Mouse buttons, adding nodes, and editing nodes
  • Deleting nodes and connecting nodes
  • Deleting connections and modeler stream rules
Importing Data and Assessing Data Quality 3 lectures 25:49 Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
Importing Data and Assessing Data Quality. 3 lectures 25:49 Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Reading Data into Modeler The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
The aim of this video is to show you instruct users on how to bring data into Modeler.
  • Data structure
  • Data import nodes
  • Var. File source node
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Measurement Level and Field Roles The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
The aim of this video is to introduce users to the options within the Types tab of a source node.
  • Metadata
  • Measurement level
  • Field Role
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
Using the Data Audit Node The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
The aim of this video is to discuss how to assess data quality.
  • Assessing Data Quality
  • Data audit node options
  • Data audit node results
The aim of this video is to discuss how to assess data quality to work on building a CHAID model.
  • Get familiar with...

Additional information

You don't need any prior experience with SPSS Modeler to get started with this video

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IBM SPSS Modeler Essentials

£ 150 VAT inc.

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See all

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