Applied multivariate analysis (MVA) forms the basis for exploratory and confirmatory factor analysis, for path modeling techniques including PLS path modeling and structural equation modeling estimation, as well as for numerous other statistical and quantitative modeling and data mining techniques and approaches.
$12 USD using coupon code MVA12 through July 31 gives you lifetime access (even after you have completed the course), a Certificate of Completion (if you finish the course), 30-day money-back guarantee
http://tinyurl.com/udemymva
75 "hands-on" video lessons (13 hours) using R and RStudio Includes all software, R scripts, slides and data files
Numerous "take-home" exercises to complete
PhD-trained 20-year University professor instructor
All online 24/7 using any device
Applied MVA Course Topics:
Introduction to Multivariate Data and Analysis with R
Using Covariance and Correlation Matrices
Setting up Multivariate Normality Plots
Visualizing 2D and 3D Multivariate Data
Brilliant QGraph Visualizations
Principal Components Analysis (PCA)
Multidimensional Scaling (MDS)
Cluster Analyses
Exploratory Factor Analyses (EFA)
Introduction to Structural Equation Modeling (SEM)
Introduction to simulating SEM data using SIMSEM
