Review: Statistical Thinking in Python (Part 1)

To be honest, the topics and especially the math are extremely basic given my expertise in statistics, but I still enjoyed reviewing implementations and applications of these in Python. Topics: - Graphical Exploratory analysis: Histograms, bee swarm plots, ECDF - Quantitative exploratory data analysis: mean, variance, covariance, box-plots, outliers, Pearson Correlation Coefficient, scatter plots - Thinking probabilistically-- Discrete variables: probabilistic logic and inference, random generators and hacker statistics, Bernoulli trials and binomial distribution, Poisson processed and the Poisson distribution, applications. - Thinking probabilistically-- Continuous variables: Interpreting PDFs and CDFs, Gaussian distribution, Exponential distribution, applications.


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