DATA SCIENCE AND MACHINE LEARNING WITH THE IBM SPSS MODELER ®
In-person events in Wiesbaden or online seminar on 2 days: €1,090 per person (net)
Anyone who wants to use modern data mining methods to identify patterns and relationships in data. These can support decision-making and improve results in a meaningful and measurable way.
LEARNING OBJECTIVES AND AGENDA
Goals:
Insight into typical data mining questions
Overview of data mining methods
Implementation in IBM SPSS Modeler®
IN-HOUSE SEMINAR
Seminars held at the customer's location
€1,390.00
per day up to 4 participants plus statutory VAT
All content of the in-house seminars is individually tailored and taught to specific target groups .
Intensive follow-up support enables participants to implement their knowledge in the shortest possible time.
Recommended seminar duration: 2 days
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
WORKSHOP
You tell us your topics!
Price on request
plus statutory VAT and travel expenses if applicable
All workshop content is individually tailored and taught to specific target groups .
We are happy to conduct the workshop at your location, in Wiesbaden or online.
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
Day 1
Overview of Data Mining with IBM SPSS Modeler®
Structure of IBM SPSS Modeler®
Typical data mining questions
Introduction to the CRISP-DM process standard
Data import
Access to structured, ODBC-enabled data sources
Importing text files
Importing proprietary data formats (IBM SPSS Statistics®, SAS®)
Processing options
Options for selecting, structuring and composing data sets (joining, appending, sorting, balancing)
Data validation, data exploration and automatic data quality testing
Day 2
Derivation, recalculation of variables or replacement of variables
Recoding, classifying and dichotomizing
Visualization (diagrams), modeling and evaluation
Modeling: Overview of available methods and information on application areas
Case study: Customer classification using different classification methods
Model evaluation (gain charts) and comparison of different models (error classification, hit rates)
Saving and exporting classification and scoring results
Reuse of analyses in subsequent projects
CONTENTS
This course is aimed at anyone who wants to get started with data mining using IBM SPSS Modeler® or who wants to refresh their knowledge.
IBM SPSS Modeler® supports the entire data mining process – from data access and data preparation to the creation of various models and modeling.
The individual steps are discussed in a practical manner and practiced based on real-life problems. Self-study or participation in advanced seminars is perfectly possible after this basic course.