Week 1: Basic fundamentals, Introduction to working in R, Brief introduction to commnds in R, data editing, R Studio, use of R as a calculator.
Week 2: Calculations with Data Vector, Built in function, Matrix operations, Univariate statistical measures for central tendency and variations.
Week 3: Handling bivariate data, Missing data handling, Measuring central tendency and variation with missing data
Week 4: Introduction of coefficient of variation, Data frames, Box Plots, and Plots for discrete and continuous data.
Week 5: Two and three-dimensional plots for univariate, bivariate and multivariate data, univariate, bivariate and multivariate random variables, univariate normal distribution
Week 6: Bivariate and multivariate normal distribution, Sampling distributions
Week 7: Regression analysis, scaling of variables
Week 8: Scaling of variables
Week 9: Principle component analysis
Week 10: Discriminant analysis
Week 11: Canonical correlation analysis
Week 12: Cluster analysis
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