Unravel the mysteries within data with SPSS software! SPSS is one of the most popular software packages used for statistical analysis and understanding data. Big data, prediction, and data mining all use SPSS.
DurationUnravel the mysteries within data with SPSS software! SPSS is one of the most popular software packages used for statistical analysis and understanding data. Big data, prediction, and data mining all use SPSS.
Academic courses that use SPSS include psychology, education, research methods, nursing, social research, engineering management, and, naturally, statistics. SPSS appears in a wide range of applications in the business world, too, such as, automotive, pharmaceutical, medical device, outsourcing, and project management.
Data is generated from everything. Social media, educational research, hip replacement studies, Alaska Iditarod dog sled races, and automotive surveys all generate data. Although SPSS can read data in excel format, the capabilities of SPSS software eclipse those of programs like excel.
In this course, students will learn how to analyze data using the IBM SPSS software package. Using interesting datasets, this course focuses on using SPSS user-friendly menus with point-and-click. The course also includes introductions to statistics, data, and SPSS Command Syntax Language programming. No prior knowledge of statistics or programming is assumed.
At UC San Diego Division of Extended Studies, we believe great social and economic prosperity comes from integrating the collective knowledge of the university, community leaders and professionals. Division of Extended Studies strives to combine local impact with national reputation and global reach.
This workshop is the first of a two-part series on SPSS. SPSS is a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.
This Introduction to SPSS training course teaches your team the fundamentals of using SPSS® for data analysis. Attendees learn the basics of importing data, data definition, data modification, data analysis, and presenting results.
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