The Statistical Package for the Social Sciences (SPSS), a program extensively used for data analysis and statistical modeling, is introduced in the SPSS course. It helps students become accustomed to the fundamental elements, data entry, manipulation, and organizing. Participants acquire the skills necessary to conduct descriptive statistical analyses, which also cover measures of central tendency and variability. Introduction to inferential statistics is also covered in the course, including correlation analysis and hypothesis testing. By the end, students have the knowledge and abilities necessary to use SPSS for data analysis and interpretation in social science research.


2 weeks

3 days weekly

2hrs per session

In this course

Data Visualization

Course Description

The Statistical Package for the Social Sciences (SPSS), an IBM program that is often used for statistical analysis in a variety of sectors, is thoroughly trained in the SPSS course for our students. Professionals in the fields of marketing, healthcare, and educational research, among others, might benefit from the course's coverage of the fundamental ideas and methods of data analysis using SPSS. Students will gain knowledge on how to use SPSS for descriptive statistics, calculating probabilities, and classifying data. In order to help students manage and analyze data using SPSS, the course also focuses on data transformation, graphing, and direct marketing tools. students will learn how to use SPSS for intelligent data analysis and decision-making in their respective disciplines through practical exercises and real-world examples.


SPSS is the preferred choice for statistical analysis due to its wide range of functionalities and ease of use. Its long-standing reputation as a reliable and robust statistical software package, with its inception dating back to 1968, makes it a trusted tool in the research community. SPSS is widely utilized in healthcare, marketing, and educational research, offering specialized features that cater to the unique requirements of these industries. Whether you are a health researcher, market analyst, or education professional, SPSS provides powerful tools for data analysis, prediction, and visualization. Its user-friendly interface, extensive library of statistical techniques, and ability to handle large datasets make it an essential tool for professionals seeking to derive meaningful insights and make informed decisions based on data analysis.

Course Outline

Data Transformation
Simple Analysis Techniques
Assumption Checking
One Sample Tests
Association Tests
Test for Mean Difference
Predictive Techniques
Scaling Techniques
Principal Component Analysis
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