Data Analysis using PLS-SEM Master Class 

Data Analysis Course Description

This course is intended to provide learners with an asynchronous learning experience concentrating on the fundamentals to advanced levels of data nalysis using PLS-SEM. The course covers cutting-edge methodology, tools, and computer-assisted techniques for doing data analysis and will mainly focused on PLS-SEM using Smart PLS 3.9 software. The instructors will tain researchers to  analyze data using PLS-SEM techniques and help them to work with their data, collecting outputs and resporting results for thesis and research articles.  The course’s research output can be submitted for publication in high-impact journals or included in a PhD thesis.

Experienced scholars and authors of highly cited impact factor research articles will teach the course. Videos lectures, Live classes, activities and assessments are all part of this exciting course. After each class subscribers can send their work to the trainers to receive feedback and trainers will also provide support for its improvement.

The course is divided into two levels: the first focuses on basics of the data analaysis and PLS-SEM, while the second focuses on advanced levels of structural equation modeling. On weekends, there are eight live sessions, where learners can interact with trainers. All subscribers will get access to video recordings of each lesson, and after completing a 40-question assessment, the Association of Professional Researchers and Academicians UK will offer a certificate of completion.

Free License Smart PLS 3.9 will be provided to the course participants

Starting from 1 August 2022

Course Fee:  GBP 100

Course Modules

  • Partial least squares (PLS) path modeling
  • Ordinary least squares (OLS) regression based on sumscores
  • Consistent PLS (PLSc)
  • Weighted PLS (WPLS), weighted OLS (WOLS) and weighted consistent PLS (WPLSc)
  • Bootstrapping and the use of advanced bootstrapping options
  • Blindfolding
  • Importance-performance map analysis (IPMA)
  • PLS multi-group analysis (MGA): Analyses the difference and significance of group-specific PLS path model estimations
  • Higher-order Models
  • Mediation: Estimation of indirect effects and their bootstrap-based significance testing
  • Moderation: Estimation of interaction effects and their bootstrap-based significance testing
  • Nonlinear relationships: Estimation of quadratic effects and their bootstrap-based significance testing
  • Confirmatory tetrad analysis (CTA): A statistical technique which allows for empirical testing the measurement model setup
  • Finite mixture (FIMIX) segmentation: A latent class approach which allows identifying and treating unobserved heterogeneity in path models
  • Prediction-oriented segmentation (POS): An approach to identify groups of data
  • PLS Predict: A technique to determine the predictive quality of the PLS path model
  • Prediction-oriented model selection

About The Trainer

Dr. Muhammad Imran Qureshi

Dr. Muhammad Imran Qureshi


Muhammad Imran Qureshi is a PhD in Operations Management from Universiti Teknologi Malaysia. He is an enthusiastic academician in operations management and big data analytics. He served as a senior lecturer at Universiti Teknikal Malaysia Melaka from 2019 to 2022. He also served at the Malaysian Institute of Industrial Technology (MITEC), Universiti Kuala Lumpur (UniKL) from 2017 to 2019. He had worked as a lecturer at COMSATS Institute of Information Technology, Pakistan, from 2007  to 2014. During his teaching tenure, he had been teaching different modules related to the operations management field at the B.S. and M.S. and PhD. level. These courses included Project Management, Operations Management, Management of Technology, Big data analytics, Market technology Intelligence, Operations Research, Total Quality Management, Statistical Process Control, Environmental Management, Logistic and Supply Chain Management, Production Management and Operations Research. Besides classroom teaching, He has conducted several workshops on Systematic Literature Review and Meta-Analysis, Structural Equation Modeling (SEM) using AMOS and SMART PLS, and qualitative data analysis using NVIVO, Systematic Literature Reviews and Meta-Analysis. On the research side, his research profile consists of more than 160 research publications in renowned journals with a cumulative impact factor above 100. He has written several impact factor publications with world-renowned publishers like ELSEVIER and SPRINGER in operations management, environmental management, sustainability, and organizational behaviour. He is also a consultant in digital business development and is actively involved in developing local and multinational businesses. He provided business consultancy to many organizations.

Course Fee:  GBP 100