Aim: The aim of this course is to provide learners with a robust understanding of data analytics techniques and their applications in business scenarios. The program is designed to equip participants with the statistical tools and analytical skills essential for data-driven decision-making in various industries.
»Data types – Structured and Unstructured data
»Cross sectional, Time series and Panel data
»Types of Measurement scales – Nominal, Ordinal, Interval and ratio
»Measures of Central tendency (Mean, Median and Mode)
»Measures of Variation (Range , Inter quartile Distance, variance and Standard deviation)
»Measures of shape (Skewness and Kurtosis)
»Frequency and Contingency table
»Chi – Square Test (Goodness of Fit and Independent test)
»T Test ( One Sample, Paired ,Independent t test)
»ANOVA ( One way , 2 Way and MANOVA)
»Wilcoxon Signed – rank test
»Mann – Whitney test
»Kruskal – Wallis test
»Regression and Correlation (Simple and Multiple)
For Advanced
»Exploratory Factor Analysis
»Confirmatory Factor Analysis
»Structural Equation Modeling
»Mediation and Moderation
»Multiple Regression Analysis
»Logistic Regression Analysis
»Discriminant Analysis
»MANOVA Analysis
»Conjoint Analysis
»Canonical Correlation Analysis (CCA)
»Cluster Analysis
»Multidimensional Scaling (MDS)
Dr. S. Shahul Hameed
MBA (H.R), MBA (Business Analytics), Msc (Psy), Ph.D
