data-science
✓Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy. Use when building ML models, analyzing data, creating dashboards, or designing data architectures.
Installation
SKILL.md
Comprehensive data science frameworks for analytics, machine learning, and data-driven decision making.
| 1 | Ad Hoc | Manual, inconsistent, siloed | | 2 | Opportunistic | Some automation, point solutions | | 3 | Systematic | Defined processes, governance emerging | | 4 | Differentiating | Data-driven decisions, advanced analytics | | 5 | Transformative | AI-first, competitive advantage |
For detailed inferential statistics and hypothesis testing, see Statistical Methods Reference.
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy. Use when building ML models, analyzing data, creating dashboards, or designing data architectures. Source: travisjneuman/.claude.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/travisjneuman/.claude --skill data-science- Source
- travisjneuman/.claude
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is data-science?
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy. Use when building ML models, analyzing data, creating dashboards, or designing data architectures. Source: travisjneuman/.claude.
How do I install data-science?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/travisjneuman/.claude --skill data-science Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/travisjneuman/.claude
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01