 Hello, I am Dr. J. M. I. T., Professor, Department of Industrial and Systems Engineering, introducing you the NOC course, Applied Multivariate Statistical Modelling. Today is the era of data analytics. Large amount of multidimensional data from different sources are now easily available. Understanding knowledge from such massive data and identifying the relationships among the multiple dimensions, describing the system from where data has been collected will help immensely to data decision making. It is applicable to all sectors of industrial service, administration and management organizations. This course, Applied Multivariate Statistical Modelling will help the participant in statistical thinking and data decision making with large, small, medium sized data with respect to all kinds of practical problems be it in banking, insurance, healthcare, supply chain, all kinds of applications. This course is a 40 hours course and it is divided into 5 modules. In module 1, we will introduce the concepts of multivariate statistical modelling and we also discuss the basic prerequisites for learning this course which is basic univariate statistics. In module 2, we describe the multivariate statistics part namely multivariate descriptive statistics, multivariate normal distribution and multivariate inferential statistics. In module 3, multivariate dependence models namely analysis of variance, multivariate analysis of variance, multiple linear regressions, multivariate linear regression will be discussed. In module 4, we will be discussing on multivariate interdependence models namely principal component analysis, factor analysis, cluster analysis and correspondence analysis. Finally in module 5, we will be discussing in detail the structural equation modelling. It has two components, one is measurement model and other one is structural model. Measurement model is known as so called confirmatory factor analysis and structural model is the path model. These two models will be combined and then finally the structural equation models will be described. This five modules codes will definitely help the participant in different ways. For example, the participants who are interested to establish themselves in the area of data analytics will be immensely helped by going through these 40 hour codes. For example, if someone is interested to build his career in marketing, in healthcare, in finance, insurance, supply chain management, safety, security, administration in other places as a data scientist, the course is fit to immensely fit to the he or her. I hope this 40 hour course will be beneficial to all of you and you will be enjoying the entire duration of the course from the lectures, from the assignments, exams and related interactions. Thank you very much. Thank you.