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Related lectures (7)
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Exploratory Statistics: Data Analysis Fundamentals
Covers the basics of exploratory statistics, including variables, quantiles, central tendency, dispersion, outliers, and robustness.
Thematic attributes and classification
Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.
Probability and Statistics
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Statistical Inference: Concepts and Applications
Covers statistical inference concepts, emphasizing data-probability connection, types of variables, and data analysis phases.
Thematic Attributes and Classification
Covers statistical thematic mapping, types of maps, discretization methods, and proportional symbols in maps.
Goodness-of-Fit Test: Variables and Distributions
Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.
Exploratory Statistics: Understanding Populations and Samples
Covers exploratory statistics, focusing on populations, samples, and various statistical measures.
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