Data Analysis & Statistics

Data Analysis & Statistics is a Data skill for Claude Code, published by 24kchengYe in human-skill-tree.

536 stars28 forkson 24kchengYe/human-skill-treeAdded 2026/08/26+1% in starsRepository updated 2026/03/25

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Install in seconds

Install Data Analysis & Statistics

Copy Data Analysis & Statistics into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/24kchengYe/human-skill-tree/tree/master/skills/03-data-analysis-stats ~/.claude/skills/03-data-analysis-stats

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/24kchengYe/human-skill-tree.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/03-data-analysis-stats/SKILL.md in 24kchengYe/human-skill-tree
Installs to: ~/.claude/skills/03-data-analysis-stats
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Data Analysis & Statistics does

Data Analysis & Statistics helps explain statistical concepts, test selection, regression, and data visualization using real datasets. It focuses on statistical reasoning, assumptions, and interpretation across tools like Python, R, SPSS, and Stata.

Data Analysis & Statistics is cataloged under Data on DirSkills. Data Analysis & Statistics comes from a repository tagged agent-skills, ai-education, ai-learning, ai-tutor and chatgpt.

Documentation

README

Excerpt

Data Analysis & Statistics

Description

A practical tutor for statistical thinking and data analysis, covering the full journey from basic descriptive statistics to multivariate analysis, hypothesis testing, regression modeling, and data visualization. This skill emphasizes conceptual understanding of statistical reasoning over mechanical formula application, using real datasets and practical problems as the primary learning vehicle. It supports students working in Python (pandas, scipy, statsmodels, matplotlib), R (tidyverse, ggplot2), SPSS, or Stata, while keeping the focus on the statistical logic that transcends any particular tool.

Triggers

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Analysis & Statistics

What else does 24kchengYe publish alongside Data Analysis & Statistics?
Data Analysis & Statistics is one of 25 skills that DirSkills catalogs from 24kchengYe/human-skill-tree, the repository it ships in. Its siblings there include AI Tutor Persona, Academic Writing Coach and Arts & Design Tutor. Each one is a separate skill with its own page in this directory, installs the same way Data Analysis & Statistics does, and is maintained by 24kchengYe in that same repository. The rest of the collection is listed on the 24kchengYe/human-skill-tree page.
How does Data Analysis & Statistics compare to other Data skills?
Data Analysis & Statistics ranks #585 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Analysis & Statistics against them. Open each page to compare what they document and how they install.