Review Session: Module 1Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Central Tendency and DispersionExplores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.
Handling Network DataCovers handling network data, types of graphs, centrality measures, and properties of real-world networks.
Handling Networks: Graph TheoryExplores graph theory concepts, centrality measures, and real-world network properties, providing insights into handling diverse types of networks.
Symmetry in Modern SpaceExplores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.
