Week 1:
Basic fundamentals, Introduction to working in R, Brief introduction to commands 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:
DOWNLOAD APP
FOLLOW US