|Course code||0K512||Skill level||Basic|
|Duration||2.0 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 'Introduction to Statistical Analysis Using IBM SPSS Statistics' classroom course. Introduction to Statistical Analysis Using IBM SPSS Statistics is a two day self-paced training course that provides an application-oriented introduction to the statistical component of IBM® SPSS® Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing underlying relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results
Training Paths that reference this course are:
Introduction to Statistical Analysis
Understanding Data Distributions - Theory
Data Distributions for Categorical Variables
Data Distributions for Scale Variables
Making Inferences about Populations from Samples
Relationships Between Categorical Variables
The Independent- Samples T Test
The Paired-Samples T Test
Bivariate Plots and Correlations for Scale Variables
eLabs will be available for a total of 336 hours in the 30 day window.
Special Note for IBM Business Partners authorized to remarket public classes and on-site classes: This course is excluded from the IBM Training Services for Enterprise - on-site Education Program for IBM Business Partners