Arrow Electronics, Inc.

Introduction to IBM SPSS Modeler and Data Science (v18.1.1)

CODE: 0A008G

LENGTH: 2 day(s)

PRICE: €1.560,00

Description

This course provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.1.1, and introduces the student to modeling.

Objectives

  • Introduction to data science
  • Introduction to IBM SPSS Modeler
  • Introduction to data science using IBM SPSS Modeler
  • Collecting initial data
  • Understanding the data
  • Setting the of analysis
  • Integrating data
  • Deriving and reclassifying fields
  • Identifying relationships
  • Introduction to modeling 

Audience

• Business analysts • Data scientists • Clients who are new to IBM SPSS Modeler or want to find out more about using it

Prerequisites

• It is recommended that you have an understanding of your business data

Programme

1. Introduction to data science• List two applications of data science• Explain the stages in the CRISP-DM methodology• Describe the skills needed for data science2. Introduction to IBM SPSS Modeler• Describe IBM SPSS Modeler's user-interface• Work with nodes and streams• Generate nodes from output• Use SuperNodes• Execute streams• Open and save streams• Use Help3. Introduction to data science using IBM SPSS Modeler• Explain the basic framework of a data-science project• Build a model• Deploy a model4. Collecting initial data• Explain the concepts "data structure", "of analysis", "field storage" and "field measurement level"• Import Microsoft Excel files• Import IBM SPSS Statistics files• Import text files• Import from databases• Export data to various formats5. Understanding the data• Audit the data• Check for invalid values• Take action for invalid values• Define blanks6. Setting the of analysis• Remove duplicate records• Aggregate records• Expand a categorical field into a series of flag fields• Transpose data7. Integrating data• Append records from multiple datasets• Merge fields from multiple datasets• Sample records8. Deriving and reclassifying fields• Use the Control Language for Expression Manipulation (CLEM)• Derive new fields• Reclassify field values9. Identifying relationships• Examine the relationship between two categorical fields• Examine the relationship between a categorical field and a continuous field• Examine the relationship between two continuous fields10. Introduction to modeling• List three types of models• Use a supervised model• Use a segmentation model

Further Information

Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.

GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:

http://w3.ibm.com/services/gbs/evita/BCSVTEnrl.nsf

Once you enroll in a GTP class, you will receive a confirmation letter that should show:

  • The current GTP list price
  • The 20% discounted price available to IBMers. This is the price you will be invoiced for the class.

Session Dates

We also offer sessions in other countries