Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1) covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.
Who is it for?
This advanced course is intended for anyone who wants to become familiar with the full range of techniques available in IBM SPSS Modeler for data preparation.
What should I have?
• Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling.
• Prior completion of the Introduction to IBM SPSS Modeler and Data Science course is recommended.
Our trainer is an experienced IBM-SPSS Statistics and DataMining Consultant
Refreshments and course notes included
1: Using functions to cleanse and enrich data
2: Using additional field transformations
3: Working with sequence data
4: Sampling, partitioning and balancing data
5: Improving efficiency
*Disclaimer: Kindly note the scheduled dates below are tentative and are therefore subject to change. Please, do register your interest as we are taking provisional bookings.