|Course code||0K406||Skill level||Intermediate|
|Duration||1.0 days||Delivery type||Self-paced Virtual Class|
|Course type||Public only|
|Public price||See Partner website|
ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within this 30 days, you will have 336 hours of elab time. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day, but lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.
NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.
This is the self paced training version of "IBM SPSS Statistics Syntax I" classroom course. Syntax is the command language that gives instructions to SPSS Statistics on how to modify, manage, and analyze your data. Syntax programs can be used to automate repetitive tasks and perform additional options that are not available in the dialog boxes. You will learn the rules of SPSS syntax, how to generate syntax from the dialog boxes, modify and optimize its use. The approach of the course will be that the dialog boxes and syntax are complementary.
Training Paths that reference this course are:
Those who want to learn the basic skills of SPSS Statistics syntax for use in repetitive production tasks. Those who are responsible for using and maintaining SPSS syntax jobs developed by others.
On the job experience running SPSS Statistics using the graphical user interface (dialog boxes) or completion of the Introduction to SPSS Statistics course. Attendees should have familiarity with basic SPSS operations for reading and saving data, variable definition, compute and recode data transformations, frequencies and crosstabs, editing and saving results.