SPSS101 : SPSS Essentials for Researchers

Practical SPSS for Research Data Analysis

5 Live Interactive Sessions • 10 Hours • Online Certificate Programme

Small Batch Mentorship Programme (Minimum 2 • Maximum 8 Participants)

Why This Programme?

SPSS is one of the most widely used statistical software packages in academic research. It is particularly useful for researchers who need to organise, analyse and interpret survey and research data without writing programming code.

SPSS101 has been specially designed for research scholars, MBA and postgraduate students, faculty members and professionals who wish to analyse research data using SPSS. The programme focuses on practical research data analysis, interpretation of output and selection of appropriate statistical tests.

Participants will learn to prepare research datasets, generate descriptive statistics, create frequency tables and cross-tabulations, perform commonly used statistical tests and interpret SPSS output. No previous SPSS experience is required.

Who Should Attend?

PhD Scholars

Analyse thesis and dissertation data confidently using SPSS.

MBA & PG Students

Perform statistical analysis for dissertations, projects and assignments.

Faculty Members

Strengthen practical skills in statistics and research methodology.

Researchers & Professionals

Use SPSS for practical research and survey data analysis.

What Will You Learn?

SPSS Fundamentals

Understand the SPSS interface, Variable View, Data View, coding and research data preparation.

Descriptive Statistics

Generate frequencies, mean, median, mode, standard deviation and other summary statistics.

Data Analysis

Work with cross-tabulation, Chi-Square and commonly used parametric tests.

Non-Parametric Tests

Learn Sign, Mann-Whitney, Wilcoxon, Kruskal-Wallis and Spearman correlation.

Output Interpretation

Read SPSS output, understand p-values and report findings in research language.

Course Structure

Session	Topic
Day 1	Getting Started with SPSS: Interface, Variable View, Data View, variable types, measurement levels, coding, value labels, data entry and importing Excel data
Day 2	Descriptive Statistics & Data Exploration: Frequencies, frequency tables, mean, median, mode, minimum, maximum, standard deviation, variance and interpretation
Day 3	Comparing Groups & Relationships: Cross-tabulation, Chi-Square Test of Independence, One-Sample t-Test, Independent Samples t-Test and Paired Samples t-Test
Day 4	Non-Parametric Tests: Sign Test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test, Kruskal-Wallis Test and Spearman Rank Correlation
Day 5	Research Application & Reporting: Selecting the appropriate statistical test, interpreting SPSS output, p-values, practical research dataset, reporting findings and common mistakes

Programme Highlights

Live Interactive Sessions
Hands-on Practical Demonstrations
Real Research Datasets
Research-Oriented Examples
SPSS Output Interpretation
Practice Exercises
Personal Mentoring
Digital Certificate
Post-Programme Guidance

Course Mentor

Dr. J. K. Sachdeva

Founder, RCSS Global Research Academy
Editor-in-Chief, Journal of Global Economy

Author of 14 books and numerous research publications. More than two decades of experience in Research Methodology, Statistics, Economics and Academic Mentoring.

Next Batch

Programme: SPSS101 : SPSS Essentials for Researchers

Commencement: 03 September 2026

Mode: Online (Google Meet)

Duration: 5 Live Interactive Sessions (10 Hours)

Timing: 7.00 pm to 9.00 pm (IST)

Batch Size: Minimum 2 • Maximum 8 Participants

Launch Fee: ₹399

Small Batch • Live Interaction • Personal Mentoring