Department of Human Resource Development

Veer Narmad South Gujarat University, Surat

Certificate Course in SPSS


Admission Notice
Application Form 2015

Overview of the Programme

SPSS is an important tool for any statistical analysis. SPSS stands for Statistical Package for the Social Sciences. SPSS software was designed to perform statistical analysis on quantitative data. In plain English, SPSS software is used for complex calculations to analyze numerical data. SPSS software is used in nonprofit agencies, educational institutions and even in business to analyze numerical data. It performs several statistical and econometric analyses. It has wide applications in the field of Social Sciences, Life Sciences, finance, Marketing, Education and other fields where statistical analysis is required. The use of SPSS is very much essential for research work. Academic institutions, Research Institutes, NGO and other such organization are also required to make use of this statistical package.

Who can apply?
Candidates who have passed bachelor degree in any field with minimum of 45% of marks will be eligible , for the admission to this certification course. The departmental committee will admit the students on the basis of merit (i.e. marks scored in graduation) The students of the Department, postgraduate students and faculty will be given preference in admission. Reservation as per the University rules will be applicable.


  • Introduction
  • Introduction to different data types, Scale of measurements, classification techniques
  • Basics of SPSS
  • Data entry in SPSS, missing values, multi response
  • Data transformation through SPSS: selection of cases, recoding of variables, identification of duplicate cases, compute variable, visual binning, merge files
  • Exploratory data analysis
  • Frequency tables and different types of charts, measures of central tendency, measures of dispersion, distribution of data set
  • Parametric tests
    • Hypothesis, logic behind hypothesis testing, procedure of hypothesis testing, p-value
    • Logic and assumptions for parametric test
    • normal probability plot
    • one sample t-test
    • two independent sample t-test
    • paired t-test
    • one way ANOVA
    • two way ANOVA
    • post hoc test
  • Non parametric tests
    • Logic and assumptions for non parametric tests
    • Wilcoxon test
    • Mann-Whitney U test
    • Kruskal Wallis II test
    • Run test
    • Chi-square test
  • Correlation and regression
    • Simple correlation
    • partial correlation
    • simple linear regression
    • assumptions of regression analysis
    • Residual analysis
    • multiple linear regression
    • curve linear regression
    • logistic regression
  • Data reduction techniques
    • Factor analysis
    • discriminanat analysis
    • Cluster analysis
  • Time series analysis
    • Stationary time series
    • Auto correlation function
    • partial autocorrelation
    • model fitting through expert modeler

Course Duration: 3 months.

Time: 4:30 pm- 6:30 pm from Monday to Wednesday (Department will have discretion to change timing)

Total Contact Hours: 60

Total Seats:30

 Download Course Content