About the Workshop

Overview

Join us for an intensive 7-day online workshop designed to equip researchers, students, and professionals with essential skills in utilizing SPSS and advanced AI tools for data analysis and research methodologies. This hands-on workshop aims to enhance your analytical capabilities, streamline your research process, and empower you with the tools necessary to derive meaningful insights from data.

Workshop Objectives

·         Master SPSS: Learn the fundamentals of SPSS, including data entry, manipulation, and statistical analysis.

·         Explore AI Tools: Discover how to leverage AI tools for data analysis, predictive modeling, and research automation.

·         Real-World Applications: Engage in practical exercises that reflect real-world research scenarios.

·         Enhance Research Skills: Develop critical thinking and analytical skills to interpret data effectively and make informed decisions.

·         Collaborative Learning: Work alongside fellow participants to foster collaboration and knowledge sharing.

Who Should Attend?

·         Researchers and academicians

·         Graduate and postgraduate students

·         Data analysts and professionals in research-focused roles

·         Anyone interested in enhancing their data analysis skills

Topics Covered

Day 1: Introduction to Data and Research Methodology
Time: 6 PM – 8 PM

·         Overview of Data Types and Sources

·         Fundamentals of Research Methodology

o    Research design: Exploratory, Descriptive, and Experimental

o    Formulating research questions and hypotheses

Day 2: SPSS Basics and Descriptive Statistics
Time: 6 PM – 8 PM

• Introduction to SPSS Interface
• Descriptive Statistics

Day 3: Inferential Statistics in SPSS
Time: 6 PM – 8 PM

• Chi-Square Test and T-Test
• ANOVA and Correlation

Day 4: Advanced Statistical Techniques
Time: 6 PM – 8 PM

• ANOVA
• MANOVA

Day 5: Multivariate Analysis Techniques
Time: 6 PM – 8 PM

• Regression
•  Multiple Regression

Day 6: Advanced Data Analysis Techniques
Time: 6 PM – 8 PM

• Binary Logistic Regression
• Factor Analysis

Day 7: AI Tools and Research Integrity
Time: 6 PM – 8 PM

• Introduction to Mandalay Reference Management Tool
• AI Software for Literature Review
  • Exploring AI tools for literature review
  • Practical applications and demonstrations
• Identifying Fake Journals
  • Strategies for recognizing predatory journals
  • Discussion on research integrity and ethics

About Resource Persons

Dr. Rohit Mutkekar, a Gold Medalist in M.Sc. (Statistics) from Karnatak University (2005), brings 19 years of academic experience and currently serves as an Associate Professor in Operations at Goa Institute of Management (GIM). He earned his Ph.D. in Statistics (2016) with research on Statistical Inference in Reliability Models. His expertise spans Statistical Inference, Operations Research, and Reliability Theory. Dr.Mutkekar also chairs GIM’s Consultancy, driving industry-academia collaboration and applied research initiatives.

Dr. Praveen M. Kulkarni is the Professor at KLS Institute of Management Education and Research, Belagavi. He has published more than 30 papers in various International Journals and Conferences and has many research grants to his credit. His experience in the field of academics and industry extends over a period of 20 years. His areas of interest include human resource management, leadership, psychometric testing.

Dr. Ajay B. Jamnani is an Associate Professor at KLS IMER, with over 15 years of experience in academia, specializing in data analytics, market research, and AI tools for research facilitation. Holding a Ph.D. in Marketing (Ecommerce) and a postgraduate degree in Applied Statistics, he has published 25+ research papers in national and international journals. Dr. Jamnani is skilled in SPSS, quantitative techniques, and operations research, and is passionate about training faculty and students in AI-driven research and statistical analysis

Dr. Govindraj R. Mane is a distinguished scholar and researcher with a robust background in  data analytics, AI applications, social science research. Renowned for his expertise in SPSS and advanced AI tools, Dr. Mane has researchers in enhancing their data analysis skills for impactful research outcomes. His workshops emphasize hands-on experience, preparing participants to integrate statistical and AI methodologies into their research effectively.