SPSS Professional Certification
SPSS Professional Certification is a self-paced online refresher course in using SPSS in intermediate level statistical applications such as descriptive statistics, t-test, ANOVA, ANCOVA and Multiple Regression within the social sciences. This interactive online course is designed for individuals who are seeking documentation of SPSS proficiency for their professional resumes.
You will have up to four weeks to complete the course that is approximately eight hours of online content and proficiency assessments. Upon successful completion of this course, you will receive a personal certificate from PASW, the newly formed IBM-based company that distributes SPSS. The statistical knowledge provided by an SPSS Certificate Program will also help you better prepare for a successful career as an analyst proficient in SPSS statistical software and serve to increase your desirability to recruiters when vying for positions in today's job market.
SPSS Professional Certification Online Refresher Course
Dates: Start upon registration
The SPSS University Certificate Program was created specifically to help higher education institutions give students an edge in today's increasingly competitive employment markets and graduate school admissions.
The Certificate Program adds value to statistics, mathematics, psychology, business, sociology or criminal course with proficiency in SOSS statistics software. With that in mind, SPSS has outlined a body of statistical knowledge that provides students with the level of understanding that will be a considerable asset for the graduates entering into employment opportunities where statistical analyses are required.
What is SPSS?
SPSS (Statistical Package for the Social Sciences) Statistics is the principal software suite used by government, commercial and academic institutions to solve research problems. Academia worldwide has made SPSS their statistical software choice and serves as the primary technology component of SPSS Predictive Analytics. More than 250,000 public sector, commercial and academic customers rely on SPSS technology to help increase revenue, reduce costs and detect and prevent fraud.
SPSS and Higher Education
SPSS has been assisting college and university faculty and administrators of over 40 years. SPSS software is used at thousands of colleges and universities around the world in a wide variety of subject areas. SPSS assists faculty and administrators in several key areas:
- Teaching, Research, and Learning
- Optimizing the Student Lifecycle
- SPSS data collection and statistics software is used by academic institutions to provide a quantitative foundation for rapidly identifying, objectively evaluating, and confidently pursuing new opportunities
In addition to college and university faculty and administration, knowledge of SPSS Statistics software can be a considerable asset to graduate students during the thesis and dissertation process, preparing them for use as professionals.
Statistics Certificate Requirements
The knowledge created by the UWF SPSS Certificate program will support existing required and elective courses. The UWF SPSS Certificate Program covers the following statistical topics with eight separate tutorial sessions:
- T-tests: Independent and dependent with assorted variations
- Analysis of Variance: Including multiple analysis of variance and covariance
- Regression and Correlation: Including both linear and multivariate situations
- Graphical displays, statistical outputs and reporting of results of standard statistical analysis procedures
- Hypothesis Tests: Determine null and alternative hypotheses and research questions
The UWF SPSS Certificate Program tutorial is divided into eight topics, each standardized to follow the same format for familiarity and consistency, each covering a specific statistical test. The standard format of individual topics within each tutorial will include:
- The definition of the statistic
- The practical use of the statistic: Situations that would require a researcher to use the particular statistic
- The variables: Definitions of the independent, dependent, and other variables with each statistic
- Research question: Defined and examples
- Research hypotheses: Defined and examples
- SPSS input: define how data may be placed into the SPSS database
- SPSS application: A step-by-step description of operating each statistic in SPSS
- Results of the statistic in SPSS: Reading output
- Phrasing of the results: significant and not significant