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#Data Analysis

// 2 posts found

[데이터사이언스]·03/04/2026·10min

Statistics Fundamentals Chapter 2: Data and Sampling Distributions

A code-driven walkthrough of the core concepts in sampling distributions: random sampling and bias, bootstrap, confidence intervals, the normal distribution, t-distribution, and binomial and Poisson distributions.

#Statistics#Data Analysis#Sampling Distribution#Python

[데이터사이언스]·03/04/2026·8min

Statistics Fundamentals Ch.1: Data Types, Location & Variability Estimation

A practical overview of data types (continuous, discrete, categorical, etc.), location estimation (mean, median), and variability estimation (variance, standard deviation), with code examples throughout.

#Statistics#Data Analysis#pandas#Python