IBM SPSS Modeler: introduction and data science (0A008G)

• Teams starting out in analytics who need a method, not just a tool.
• Anyone who has to explain internally what a data science project involves.
• Analysts coming from spreadsheets and making the jump to Modeler.

• Introduction to data science: applications, the stages of CRISP-DM and the skills required
• Introduction to IBM SPSS Modeler: interface, nodes, streams, SuperNodes, execution and file management
• Data science with IBM SPSS Modeler: project framework, model building and deployment
• Collecting initial data: data structure, importing Excel, Statistics, text and databases, and exporting
• Understanding the data: auditing, detecting and handling invalid values, defining blanks
• Setting the unit of analysis: duplicates, aggregating records, expanding categoricals and transposing
• Integrating data: appending records, merging fields and sampling
• Deriving and reclassifying fields with CLEM
• Identifying relationships: categorical to categorical, categorical to continuous and continuous to continuous
• Introduction to modeling: model types and the uses of supervised and segmentation models

• Labs on IBM SPSS Modeler with real data: streams built, run and fixed during the course.
• Taught directly by IBM Champion instructors from the SIXE team.
• Credly badges available: credly.com/organizations/sixe/badges
• Flexible format — online, classroom or onsite — in closed groups, priced per attendee, in the language of your choice (ES / EN / FR).

How does it differ from the V18.2 foundations?
Same ground, different releases. Modeler foundations (0A069G) is the current edition, with the outline brought up to date; this is the earlier one, weighted more towards the CRISP-DM methodology.

How is it organised and what does it cost?
It runs as a closed group, priced per attendee. Tell us how many you are and which dates suit you, and we will send a proposal.

• 0A069G — Modeler foundations
• 0A018G — automated modeling
• 0A079G — machine learning models