BASIC DATA ANALYSIS COURSE USING IBM SPSS

Are you a university student, thesis researcher, or young researcher in Bangladesh struggling with data analysis, statistics, or IBM SPSS for your academic research?

The Bangladesh Research Society (BDRS) is pleased to announce the reopening of registration for the Basic Data Analysis Course Using IBM SPSS—a structured, practical, and research-oriented training program designed to strengthen statistical competence, quantitative research skills, and data analysis capacity among university students, thesis students, and young researchers.

The course is designed to introduce participants to SPSS from the fundamentals and gradually develop their ability to conduct statistical analyses commonly used in academic and quantitative research.

WHY SHOULD YOU JOIN THIS COURSE?

Through this training, participants will have the opportunity to:

Learn IBM SPSS step-by-step, from beginner to applied research level
Understand statistical techniques commonly used in academic research
Gain practical experience in data cleaning, management, visualization, and analysis
Develop skills in hypothesis testing, correlation, regression, and ANOVA
Understand how to design and execute a complete research data analysis workflow
Strengthen quantitative research and statistical analysis skills
Apply SPSS to thesis, dissertation, survey, and academic research
Receive an official course completion certificate

PROGRAM DETAILS

Title	Details
Course Title	Basic Data Analysis Course Using IBM SPSS
Duration	Approximately 2 Months
Total Classes	12 Live Sessions
Class Frequency	3 Classes per Week
Class Time	10:00 PM – 11:00 PM
Course Start Date	13 April 2026 (Monday)
Mode	Live Online Classes
Platform	Google Meet

The class schedule may be adjusted when necessary.

WHAT WILL YOU LEARN?

1. Introduction to IBM SPSS

Introduction to SPSS and its research applications
SPSS interface and basic operations
Data View and Variable View
Creating and managing research datasets

2. Data Importing, Cleaning & Management

Importing datasets into SPSS
Variable coding and labeling
Data cleaning and preparation
Missing-value management
Data transformation and recoding

3. Descriptive Statistics

Frequency analysis
Measures of central tendency
Measures of dispersion
Descriptive summaries
Interpretation of statistical outputs

4. Normality Testing

Understanding distribution and normality
Normality assessment
Interpretation of normality tests
Implications for statistical analysis

5. Data Visualization

Bar charts
Histograms
Boxplots
Pie charts
Scatterplots
Research-oriented graphical presentation

6. Hypothesis Testing

Research and statistical hypotheses
Significance testing
Parametric and non-parametric approaches
Interpretation of p-values and statistical significance

7. Chi-Square & Correlation Analysis

Chi-Square test of association
Pearson correlation
Relationship between variables
Interpretation and reporting of results

8. Regression Analysis

Simple and multiple linear regression
Regression coefficients
Model interpretation
Logistic regression
Practical applications in quantitative research

9. ANOVA

Analysis of Variance
Comparing multiple groups
Interpretation of ANOVA results
Post-analysis interpretation

10. Complete Research Data Analysis Workflow

From research question to statistical analysis
Selecting appropriate statistical techniques
Running analyses in SPSS
Interpreting statistical outputs
Presenting results for academic research

11. Final Project

Practical research dataset
Complete data analysis
Interpretation of findings
Research-oriented presentation of results

12. Comprehensive Review

Course review
Practical problem-solving
Participant Q&A
Final guidance for independent research data analysis

WHO CAN APPLY?

This course is open to:

University Students — Undergraduate & Master’s
Thesis and Dissertation Students
Young Researchers
Early-Career Professionals interested in Data Analysis
Students and researchers seeking practical SPSS skills
Individuals interested in quantitative research and statistics

Class Schedule

Class Days: Saturday, Monday & Wednesday
Time: 10:00 PM – 11:00 PM
Time Zone: Bangladesh Standard Time (BST)

Registration Information

Participant Category	Fee
Research Society Members	BDT 490
Non-Members	BDT 990

REGISTRATION DEADLINE: 13 April 2026

Payment Information

Payment Method: Send Money

bKash / Nagad: 01917558417

Participants are requested to follow the payment instructions carefully.

Important: Participants must mention their own name in the Reference field while making the payment.

After completing the payment, participants must submit the Registration Form to confirm their participation in the course.

Contact

Email: bdresearchsociety@gmail.com

For registration-related queries and further information, participants may contact the Bangladesh Research Society through the official email address.