The course contents are subject to copyright. Unauthorized distribution of the course contents will lead to legal actions by Research HUB. The enrolled participants will have lifetime access to the course materials and any future updates.

COURSE DESCRIPTION

This on demand online course presents basic statistical analysis concepts and their applications using the SPSS software. The course is organized into five modules. Module 1 presents introduction to SPSS. Module 2 shows data visualization. Module 3 shows common descriptive statistics analysis. Module 4 covers hypothesis testing using mean comparison tests. Module 5 demonstrates ordinary least squares (OLS) regression and test of its assumptions. At the end of each module there is an MCQ exercise to test your understanding of the topics covered.

INSTRUCTOR PROFILE

Ziaul Haque Munim is Associate Professor of Maritime Logistics at the Faculty of Technology, Natural and Maritime Sciences at the University of South-Eastern Norway. His main research interests include maritime logistics, supply chain management, forecasting and research methods. He holds a PhD degree in International Management from the University of Agder and MSc degree in Supply Chain Management from the Vienna University of Economics and Business. He has extensive traning in Structural Equation Modeling from the University of Oslo and University of Cambridge. Further, he has a diploma in Global Transport Challenges from the University of Oxford.

His publications have appeared in leading journals such as the Journal of Business Research, Asia Pacific Journal of Management, Resources, Conservation & Recycling, Journal of Cleaner Production and others. He received the Palgrave Macmillan Best Paper Award at the IAME 2016 in Hamburg and the KLU Young Researcher Best Paper Award at the IAME 2018 in Mombasa.

Follow his research on researchgate.

CERTIFICATION

Participants receives course completion certificate from Research HUB Online Education upon finishing all lectures and scoring 70% or higher points in the 5 set of MCQs within 30 weeks from the enrollment date.

THE COURSE INCLUDES

• 26 on-demand lectures covering about 04 hours.
• 05 sets of MCQ tests for assessment.
• Sample datasets for practice analysis.
• Lifetime access to course resources and updates.