This course covers data auditing options in IBM SPSS Modeler designed to make data examination exploration and auditing easy and transparent
About this Event

The data understanding and data preparation phase of any data science project can be time-consuming and, at times, confusing. This two hour express course covers data auditing options in IBM SPSS Modeler designed to make data examination, exploration and auditing easy and transparent. This course will cover the following topics:

Review of CRISP-DM

Review of the data understanding phase

Using the Data Audit node

Data Audit node output

Types of missing data and tools to assess missing data

Tools to assess data quality

Examining and handling outliers and anomalous data

Using the View Data option

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Anyone who wants to focus on data understanding in IBM SPSS Modeler.

For more SPSS courses have a look at our Public & Professional Courses https://www.spssanalyticspartner.com/training/public-professional-training-courses/