This training program provides the fundamentals of using IBM SPSS Modeler and introduces the professionals to data science. The principles as well as the practice of data science are illustrated, by using the CRISP-DM methodology. The training program provides the basic knowledge and understanding about the ways to import, explore, and prepare data with IBM SPSS Modeler v18.1.1, and introduces the professionals to modeling.

Radiant Techlearning offers the Introduction to IBM SPSS Modeler and Data Science (v18.1.1) training program in Classroom & Virtual Instructor Led / Online mode.


Duration: 2 days


  • It is recommended that the professionals should have an understanding of the business data

Audience for the course

  • Business analysts
  • Data scientists
  • Professionals, those who are new to use IBM SPSS Modeler or are interested in exploring more about using it.

Course content

Introduction to data science

  • List two applications of data science
  • Explain the stages in the CRISP-DM methodology
  • Describe the skills needed for data science

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 Help

Introduction to data science using IBM SPSS Modeler

  • Explain the primary framework of a data-science project
  • Build a model
  • Deploy a model

Collecting initial data

  • Explanation of the ideas – “field storage”, “of analysis”, “field measurement level” alongside “data structure”
  • Import Microsoft Excel files
  • Import IBM SPSS Statistics files
  • Import text files
  • Import from databases
  • Export data to various formats

Understanding the data

  • Audit the data
  • Check for invalid values
  • Take action for invalid values
  • Define blanks

Setting the of analysis

  • Remove duplicate records
  • Aggregate records
  • The categorical fields are expanded into the sequence of flag fields
  • Transpose data

Integrating data

  • Append records from multiple datasets
  • Merge fields from multiple datasets
  • Sample records

Deriving and reclassifying fields

  • Use the Control Language for Expression Manipulation (CLEM)
  • Derive new fields
  • Reclassify field values

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 fields

Introduction to modeling

  • List three types of models
  • Use a supervised model
  • Use a segmentation model


Q. What does SPSS Modeler do?


A: SPSS Modeler is a leading visual data science as well as machine learning solution. Foremost organizations worldwide depend on IBM for data preparation as well as discovery; predictive analytics, model management as well as deployment, as well as machine learning for monetize data assets


Q. Is IBM SPSS Modeler free?


A: SPSS Modeler available for free for educational usage


Q. What is the difference between SPSS Statistics and Modeler?


A: SPSS Modeler delivers data mining as well as text analysis software, while SPSS Statistics is an integrated family of products. Both tools allow users to build predictive models as well as implement other analytics tasks. Modeler can apply different processes as well as algorithms to help the user discover information hidden in the data.


Q. Why do we need SPSS?


A: SPSS (Statistical package for the social sciences) is the set of software programs that are merged together in a single package. The basic application of this program is to analyze scientific data associated with the social science. This data can be utilized for market research, surveys, data mining, etc.


Q. What are Arima models used for?


A: An autoregressive integrated moving average, or ARIMA, is a statistical analysis model that utilizes time series data to either better understand the data set or to predict future trends


Q. Is SPSS better than excel?


A: Though Microsoft Excel as well as SPSS has a similar look as well as feel, with menus, spreadsheets also built-in statistical functions, SPSS is a clear winner when it comes to data analysis, as this software is especially created for statistics


Q. Where is Radiant Techlearning Located?


A: Radiant Techlearning is headquartered in Electronic city & technology hub of Nothern India, Noida, which is surrounded by several large multinational, medium & small Software companies.

We have our offices located all across the country and partners across the globe.


Q. What is the benefit of doing training from Radiant Techlearning?


A: Radiant Techlearning is receptive to new ideas and always believes in a creative approach that makes learning easy and effective. We stand strong with highly qualified & certified technology Consultants, trainers and developers who believe in amalgamation of practical and creative training to groom the technical skills.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program.

Our experts will also share best practices & will give you guidance to score high & perform better in your certification exams.

To ensure your success, we provide support session even after the training program.

You would also be awarded with a course completion certificate recognized by the industry after completion of the course & the assignment.


Q. How do you ensure the quality of training program?


A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants, who deliver you training programs. Our trainers & consultants undergo rigorous technical and behavioral interview and assessment process before they are on boarded in the company.

Our Technology experts / trainers & consultant carry deep dive knowledge in the technical subject & are certified from the OEM.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program.

Our faculty will provide you the knowledge of each course from fundamental level in an easy way and you are free to ask your doubts any time from your respective faculty.

Our trainers have patience and ability to explain difficult concepts in simplistic way with depth and width of knowledge.

To ensure quality learning, we provide support session even after the training program.


Q. What if I/we have doubts after attending your training program?


A: Radiant team of experts would be available on the email to answer your technical queries, even after the training program.

We also conduct a 3 – 4 hours online session after 2 weeks of the training program, to respond on your queries & project assigned to you.


Q. If I face technical difficulty during the class what should I do?


A: Technical issues are unpredictable and might occur with you as well. Participants have to ensure that they have the system with required configuration with good internet speed to access online labs.

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