Introduction to SPSS

Introduction to SPSS course is designed to facilitate and make use of the collected data for decision-making purposes in a manner that increases the opportunities and possibilities for development, as SPSS is one of the statistical applications that work under the umbrella of Windows. It includes a set of menus and tools to do statistical analysis of data of various types questionnaires. SPSS statistical system relies on digital information, and it can be used in all scientific research methods. A computerized program can be a benefit to the resume and practical experience to the individual. This course will help you to ensure the quality and reliability of data, and how to present the results in a scientific manner that is easy to understand and read through graphs and results that are easy to use to support decision-making, search quality and data management through the application of SPSS software processes by the implementation of the commands shown in the main lists. The Introduction to SPSS course is ideal for anyone who wants to enhance the reporting skill that includes interpreting and presenting data analysis results using SPSS . This course is characterized by its inclusion of many case studies regarding the satisfaction of the service recipient, in addition to the practical side of the main SPSS lists, to enable you to deal with data and nominal and quantitative variables, and with the list of files, modification and change, as well as a list of analysis with the theories, analysis, contrast, and correlation, and regression. At the end of the course, you will be able to deal with SPSS program, the most widely used program for analyzing statistical information, which today is widely used by researchers in the fields of marketing, finance, government and education, as it is employed to analyze questionnaires, in information management and information documentation, and in extracting applicable insights through the analysis of the data. This program is characterized by its ease of use and high reliability, as it is one of the programs that no researcher can skip or dispense with in the data analysis stage .