These courses combine lectures, software demonstrations, question-and-answer sessions and hands-on computer workshops for an interactive learning experience.
JMP® Software: Finding Important Predictors
Date/Time: Monday, 12 March, 9:00-16:30 – Tuesday, 13 March, 9:00-16:30
Location: München I
Instructor: Di Michelson
Conference Attendee Price: €1420 plus VAT
Course Description: This course teaches you techniques for fitting statistical models to identify important variables. Manual, graphical, and automated variable selection techniques will be presented, along with advanced modeling methods. The demonstrations include modeling both designed and undesigned data. Techniques will be illustrated using both JMP and JMP Pro.
Laptops will be provided.
Learn how to:
- Identify a subset of predictors as important using a statistical model
- Validate statistical models using cross-validation, holdback validation and information-theoretic criteria
- Perform stepwise and all subsets regression
- Select important predictors using decision trees, variable clustering and predictive models
- Perform penalized regression for Gaussian and non-Gaussian responses
- Use the Generalized Regression platform to identify important predictors
Who Should Attend: Analysts, researchers, technicians, or anyone filling similar roles, who want to determine which predictors in a large data set are important in predicting a response.
Prerequisites: Before attending this course, you should have experience using JMP and performing data analysis. Completion of JMP Software: A Case Study Approach to Data Exploration and JMP Software: ANOVA and Regression is also recommended.
JMP® Software: Introduction to the JMP Scripting Language
Date/Time: Tuesday, 13 March, 9:00-16:30
Location: München II and Berlin
Instructor: Peter Bewerunge
Conference Attendee Price: €710 plus VAT
Course Description: This course demonstrates how to extend JMP software's functionality using the JMP Scripting Language (JSL) to automate routine procedures, extend or create new procedures, and customize reports.
Laptops will be provided.
Learn how to:
- Use the basic elements in JSL
- Use messages, functions, and expressions to create new data tables and columns, control analyses, and capture or modify reports
- Create and use dialogs to adapt script behavior
- Save JMP scripts as JMP add-ins to automate routine analyses and reporting and facilitate script deployment
Who Should Attend: Anyone familiar with JMP who wants to learn the JMP Scripting Language (JSL).
Prerequisites: Before attending this course, it is recommended you complete the JMP Software: A Case Study Approach to Data Exploration course or have equivalent experience.
SAS Education’s Guaranteed to Run Program: As part of our commitment to growing your SAS knowledge, we guarantee to run any course that has at least four registrations four weeks prior to the course start date.*
The SAS cancellation policy covers courses, conferences and certification exams organized by SAS. If you are unable to attend the event for which you registered, please inform SAS as soon as possible.
Fees are fully refundable if notification is received by email or phone (+49 (6221) 415 300) at least 10 calendar days prior to the scheduled start date of an event; after that (nine calendar days or less), the full event fee will be charged.
Substitutions (name changes) are accepted at any time prior to the event, except for training package registrations which are not transferable. Transfers are accepted up to 48 hours before the event start date, and students are allowed one transfer per course registration. Students that are absent from class without notifying SAS by phone or email at least one day before class begins will be charged the full course price.
*SAS reserves the right to cancel or reschedule any course in case of force majeure. Should a course have to be canceled or rescheduled, we will endeavor to provide a written notification as soon as possible. If a course is canceled for any reason, SAS will return prepaid registration fees. SAS is not responsible for airline penalties related to the cancellation of SAS courses or events.